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489 results about "Decision rule" patented technology
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In decision theory, a decision rule is a function which maps an observation to an appropriate action. Decision rules play an important role in the theory of statistics and economics, and are closely related to the concept of a strategy in game theory.
Machine translation techniques
ActiveUS20020040292A1Easy to useIncrease flexibilityNatural language translationDigital data information retrievalNatural language processingEngineering
Machine translation decoding is accomplished by receiving as input a text segment in a source language to be translated into a target language, generating an initial translation as a current target language translation, applying one or more modification operators to the current target language translation to generate one or more modified target language translations, determining whether one or more of the modified target language translations represents an improved translation in comparison with the current target language translation, setting a modified target language translation as the current target language translation, and repeating these steps until occurrence of a termination condition. Automatically generating a tree (e.g., either a syntactic tree or a discourse tree) can be accomplished by receiving as input a tree corresponding to a source language text segment, and applying one or more decision rules to the received input to generate a tree corresponding to a target language text segment.
Owner:UNIV OF SOUTHERN CALIFORNIA
System and method for correlating historical attacks with diverse indicators to generate indicator profiles for detecting and predicting future network attacks
InactiveUS20140082730A1Reduce detectionAccurately detect and predictMemory loss protectionError detection/correctionTraffic characteristicAnomalous behavior
An apparatus and method predict and detect network attacks by using a diverse set of indicators to measure aspects of the traffic and by encoding traffic characteristics using these indicators of potential attacks or anomalous behavior. The set of indicators is analyzed by supervised learning to automatically learn a decision rule which examines the temporal patterns in the coded values of the set of indicators to accurately detect and predict network attacks. The rules automatically evolve in response to new attacks as the system updates its rules periodically by analyzing new data and feedback signals about attacks associated with that data. To assist human operators, the system also provides human interpretable explanations of detection and prediction rules by pointing to indicators whose values contribute to a decision that there is an existing network attack or an imminent network attack. When such indictors are detected, an operator can take remediation actions.
Owner:PERSPECTA LABS INC +1
Apparatus and method for prediction and management of participant compliance in clinical research
InactiveUS7415447B2Reduce testing costsImprove statistics performanceDigital computer detailsForecastingNon complianceClinical trial
A system for developing and implementing empirically derived algorithms to generate decision rules to determine participant noncompliance and fraud with research protocols in clinical trials allows for the identification of complex patterns of variables that detect or predict participant noncompliance and fraud with research protocol, including performance and enrollment goals, in the clinical trial. The data may be used to overall predict the performance of any participant in a clinical trial, allowing selection of participants that tend to produce useful, high-quality results. The present invention can also be used to monitor participant compliance with the research protocol and goals to determine preferred actions to be performed. Optionally, the invention may provide a spectrum of noncompliance, from minor noncompliance needing only corrective feedback, to significant noncompliance requiring participant removal from the clinical trial or from future clinical trials. The algorithms and decision rules can also be domain-specific, such as detecting non-compliance or fraud among subjects in a cardiovascular drug trial, or demographically specific, such as taking into account gender, age or location, which provides for algorithms and decision rules to be optimized for the specific sample of participants being studied.
Owner:ERESTECH
Machine translation techniques
InactiveUS7533013B2Improve accuracyLow computational and space costNatural language translationDigital data information retrievalNatural language processingEngineering
Owner:UNIV OF SOUTHERN CALIFORNIA
Apparatus and method for prediction and management of participant compliance in clinical research
InactiveUS20060184493A1Improve statistics performanceReduce testing costsDigital computer detailsForecastingCardiovascular drugNon compliance
A system for developing and implementing empirically derived algorithms to generate decision rules to determine participant noncompliance and fraud with research protocols in clinical trials allows for the identification of complex patterns of variables that detect or predict participant noncompliance and fraud with research protocol, including performance and enrollment goals, in the clinical trial. The data may be used to overall predict the performance of any participant in a clinical trial, allowing selection of participants that tend to produce useful, high-quality results. The present invention can also be used to monitor participant compliance with the research protocol and goals to determine preferred actions to be performed. Optionally, the invention may provide a spectrum of noncompliance, from minor noncompliance needing only corrective feedback, to significant noncompliance requiring participant removal from the clinical trial or from future clinical trials. The algorithms and decision rules can also be domain-specific, such as detecting non-compliance or fraud among subjects in a cardiovascular drug trial, or demographically specific, such as taking into account gender, age or location, which provides for algorithms and decision rules to be optimized for the specific sample of participants being studied.
Owner:ERESTECH
System and method for assessing the security posture of a network using goal oriented fuzzy logic decision rules
A method and data processing system assesses the security vulnerability of a network. A system object model database is created and supports the information data requirements of disparate network vulnerability analysis programs. Only the required data from the system object model database representing the network is imported to the programs, which then analyze the network to produce data results from each program. These data results are stored in a common system model database and within the data fact base. Goal oriented fuzzy logic decision rules are applied to determine the vulnerability posture of the network.
Owner:HARRIS CORP
Model-based and data-driven analytic support for strategy development
The invention provides an overall architecture for optimal strategy design using both historical data and human expertise. The presently preferred architecture supports the tasks of strategy design and strategy analysis, and provides extensions to influence diagrams, translation of an influence diagram as a nonlinear optimization problem, and use of induction after optimization to derive decision rules.
Owner:FAIR ISAAC & CO INC
Application processing and decision systems and processes
InactiveUS20090048999A1Easy to controlSuitable for useFinancePayment architectureDecision systemData source
Owner:EQUIFAX INC
Clinical trial endpoint development process
ActiveUS8380531B2Market predictionsComputer-assisted medical data acquisitionHealth related quality of lifeMedicine
A system for developing and producing clinical endpoints based on patient reported outcome data utilizing algorithms to generate decision rules to evaluate patient reported outcome type questionnaire is provided. The questionnaires can include health-related quality of life questionnaires and can predict the reliability of endpoints in supporting one or more medical labeling claims.
Owner:ERESTECH
Method and system for recognizing the intentions of shoppers in retail aisles based on their trajectories
ActiveUS9740977B1Image analysisCharacter and pattern recognitionHide markov modelHuman–computer interaction
The present invention is a method and system for automatically recognizing which products a shopper intends to find or purchase based on the shopper's trajectory in a retail aisle. First, the system detects and tracks the person to generate the trajectory of the shopper. Then some of the dynamic features are extracted from the shopper trajectory. The shopper trajectory features of a given trajectory are typically the positions, the motion orientations, and speeds at each point of the trajectory. A shopper behavior model is designed based on some of the primitive actions of shoppers. The last step of the method is to analyze a given shopper trajectory to estimate the shopper's intention. The step either utilizes decision rules based on the extracted shopper trajectory features, or utilizes a trained Hidden Markov Model, to estimate the progression of the primitive actions from the trajectory. The decoded progression of the shopper behavior states is then interpreted to finally determine the shopper's intention.
Owner:VIDEOMINING CORP
Character recognition
InactiveUS7139430B2Easy to implementLimited computing powerCharacter and pattern recognitionProximity measureOptical character recognition
Character recognition includes detecting a union of characters, preprocessing the union of characters, comparing the preprocessed union of characters with one or more template symbols, and applying a decision rule to either reject a template symbol or decide that the template symbol is included in the union of characters. Such preprocessing involves representing the union of characters as one or more curves, and parameterizing the curve(s); and, regarding various classes of transformation, forming one or more shapes for the curve(s). The comparing operation involves forming one or more geometric proximity measures, and determining for every shape the values of those measures between the shape and correspondingly determined shapes for the template symbols. Applying a decision rule involves selecting one or more template symbols in consideration of the values.
Owner:ZI DECUMA AB
Network-based financial planning system and method
A method and information processor are provided which allow a user of a user terminal to receive a list of credit financing opportunities based on the user's financing objectives in which credit data is received from the user terminal. The credit data includes the user's objective and a credit profile. Credit financing opportunities are determined based on the credit data and one or more predetermined decision rules. An output is generated and provided to the user terminal which includes a comparison of at least part of the credit profile with the determined credit financing opportunities.
Owner:JPMORGAN CHASE BANK NA +1
Method for allocating limited component supply and capacity to optimize production scheduling
ActiveUS7197469B2Efficient rateTechnology managementMultiprogramming arrangementsMaterial requirements planningLimited component
Owner:RAKUTEN GRP INC
Vehicle energy management system using prognostics
InactiveUS20050137764A1Avoid performanceHybrid vehiclesDigital data processing detailsSystems managementEnergy management system
An energy management system for controlling an electrical system comprises data collection components, such as sensors, for providing quantified variables for forming an instantaneous state vector. A time series predictor generates an estimated future vector value in response to the instantaneous state vector. An electrical system manager includes predetermined decision rules invoked in response to the estimated future vector value to adapt the electrical system to expected electrical conditions.
Owner:LEAR CORP
Method and system for detecting unusual events and application thereof in computer intrusion detection
InactiveUS7475405B2Easy to identifyAccurate screening capabilityMemory loss protectionError detection/correctionData dredgingEvent data
An automated decision engine is utilized to screen incoming alarms using a knowledge-base of decision rules. The decision rules are updated with the assistance of a data mining engine that analyzes historical data. “Normal” alarm events, sequences, or patterns generated by sensors under conditions not associated with unusual occurrences (such as intrusion attacks) are characterized and these characterizations are used to contrast normal conditions from abnormal conditions. By identifying frequent occurrences and characterizing them as “normal” it is possible to easily identify anomalies which would indicate a probable improper occurrence. This provides very accurate screening capability based on actual event data.
Owner:TREND MICRO INC
Application processing and decision systems and processes
ActiveUS20070022027A1Easy to controlHigh performance mannerFinanceDigital data processing detailsDecision systemData source
The present invention relates to application processing and decisioning systems and processes. One embodiment of the invention includes a method for automating decisioning for a credit request associated with an applicant. The method includes providing a user computer interface adapted to receive information associated with an applicant, and further adapted to display and receive information associated with at least one decision rule. The method also includes receiving information associated with an applicant through the user computer interface; receiving information associated with the applicant from at least one data source; and receiving a selection of information associated with a plurality of decision rules through the user computer interface. Furthermore the method includes receiving a selection of rule flow information associated with the plurality of decision rules through the user computer interface; generating a plurality of decision rules based at least in part on the information associated with the applicant, based at least in part on the information associated with the applicant from at least one data source, and based at least in part on the selection of information associated with a plurality of decision rules, wherein an outcome associated with the at least one decision rule can be obtained; and based in part on at least the rule flow information, displaying at least a portion of the plurality of decision rules through the user computer interface.
Owner:EQUIFAX INC
Coastal city time sequence land utilization information extracting method
ActiveCN106650689AImprove robustnessImprove universalityImage enhancementImage analysisAtmospheric correctionCritical question
The invention discloses a coastal city time sequence land utilization information extracting method. The method comprises the following steps: acquiring a remote-sensing image Landsat, and preforming atmospheric correction on the same; constructing a remote-sensing classification feature index database by selecting a group of remote-sensing classification features; acquiring data elevation image DEM data to obtain elevation data and slope data; constructing a decision rule of single-classification feature index or multiple classification feature indexes according to different land utilization types of the coastal city based on a multi-feature decision tree model, classifying the coastal city land utilization step by step according to the rule, and finally determining various branches of the decision tree, detecting the time sequence remote-sensing image change, and distinguishing a mistaken classification land type and a missed classification land type, wherein the method further comprises the content of two parts: evaluating classification precision, and outputting the land utilizationclassification map extracted based on the decision tree model. By use of the extracting method disclosed by the invention, the coastal city land utilizationclassification precision can be greatly improved, and a key problem in the coastal city land utilizationclassification is solved.
Owner:XIAMEN UNIV OF TECH
Method and apparatus for performing application virtualization
InactiveUS20050005018A1Resource allocationMultiple digital computer combinationsVirtualizationResource utilization
The present invention provides an application virtualization framework that allows dynamic allocation and de-allocation of compute resources, such as memory. Runtime applications are pooled across multiple application servers and compute resources are allocated and de-allocated in such a way that resource utilization is optimized. In addition, objects are either stored in local memory or in a non-local memory pool depending on certain criteria observed at runtime. Decision logic uses decision rules to determine whether an object is to be stored locally or in a memory pool. Resource management logic monitors the memory pool to determine which locations are available for storing objects and how much memory is available overall in the memory pool for storing objects.
Owner:CHUTNEY TECH
Methods and systems for context driven information services and advanced decision making
A computer-implemented method for collating relevant information to assist a user in a decision-making process is provided. The method includes receiving, from a plurality of data sources, a plurality of pieces of data including contextual features, and populating at least one contextual model with the plurality of pieces of data. The at least one contextual model groups pieces of data based at least in part on the contextual features. The method also includes calculating one or more contextual relationships based on the at least one contextual model, and determining one or more pieces of data of the at least one contextual model to provide to a user based on the one or more contextual relationships and one or more decision making rules.
Owner:THE BOEING CO
Decision making method and system based on big data
InactiveCN104123395AEasy to digOvercome the disadvantage of not being universalSpecial data processing applicationsDiseaseMedical treatment
The invention discloses a decision making method and system based on big data. The method integrates a series of decision making influence factors commonly used for all industries in advance and has the setting function of setting all the influence factors so that users in all walks of life can customize acquisition rules, decision making rules and the like required by decision making through simple setting, and for instance, the users can set industry types and data keywords to formulate the acquisition rules. Meanwhile, a universal classification model is built in advance, data to be classified can be classified by the model on the basis of auxiliary information set by the users according to service requirements of the users, so that data required by the users can be further mined conveniently, and target data are obtained. For instance, acquired medical data can be classified in terms of diseases by the model according to the auxiliary information of the diseases set by the users, and finally decisions are made according to the decision making rules set by the users. It is clear that the decision making method and system based on big data overcome the defect that an existing decision making method is not universal.
Owner:BEIJING CYCLE CENTURY DIGITAL TECH
Hybrid soft and hard decision feedback equalizer
InactiveUS7006565B1Improve signal qualityImprove current qualityMultiple-port networksAdaptive networkIir filteringEngineering
An equalizer for use in a communication receiver includes an infinite impulse response (IIR) feedback filter operated in acquisition and tracking feedback modes on a sample by sample basis to form a hybrid Decision Feedback Equalizer (DFE) architecture. In acquisition mode, soft decision samples from the filtered received signal are input to the IIR filter. In the tracking mode, hard decision samples from a slicer are input to the IIR filter. Acquisition and tracking operating modes are selected in accordance with a set of decision rules on a sample by sample basis based on the quality of the current hard decision. If the current hard decision is low quality, then the soft decision sample (acquisition mode) is used. If the current hard decision is high quality, then the hard decision sample (tracking mode) is used. In such manner, the DFE is operated in a hybrid mode, i.e., using both soft and hard decisions on a sample by sample basis. Furthermore, the decision rules that are responsive to signal reliability to select acquisition and tracking modes are adaptive.
Owner:AVAGO TECH WIRELESS IP SINGAPORE PTE
Operation and method for prediction and management of the validity of subject reported data
InactiveUS20080052259A1Improve consistencyGood reproducibilityDigital computer detailsComputation using non-denominational number representationPattern detectionSatisfaction rate
A system for developing and implementing empirically derived algorithms to generate decision rules to predict invalidity of subject reported data and fraud with research protocols in surveys allows for the identification of complex patterns of variables that detect or predict subject invalidity of subject reported data and fraud with the research protocol in the survey. The present invention may also be used to monitor invalidity of subject reported data within a research protocol to determine preferred actions to be performed. Optionally, the invention may provide a spectrum of invalidity, from minor invalidity needing only corrective feedback, to significant invalidity requiring subject removal from the survey. The algorithms and decision rules can also be domain-specific, such as detecting invalidity or fraud among subjects in a workplace satisfaction survey, or demographically specific, such as taking into account gender or age. The algorithms and decision rules may be optimized for the specific sample of subjects being studied.
Owner:ERESTECH
Method for decision and risk analysis in probabilistic and multiple criteria situations
A computer-implemented decision device and a family of methods and procedures are used for representing and analyzing imprecise, vague, and incomplete probabilistic decision and risk problems and / or when a criteria hierarchy is present. Decision makers can state the problems simply with the precision the decision-makers feel they have evidence for. Probabilities, values (utilities), criteria weights with belief distributions over them, and optimization procedures for fast evaluation of decision rules with respect to such statements are determined and analyzed.
Owner:DANIELSON MATS +1
Road traffic sign identification method with multiple-camera integration based on DS evidence theory
ActiveCN105930791AEfficient identificationRecognition is stable and efficientCharacter and pattern recognitionImaging processingHistogram of oriented gradients
The present invention relates to a road traffic sign identification method with multiple-camera integration based on the DS evidence theory, belonging to the technical field of image processing. According to the method, five types of road traffic indication signs which are going straight, turning left, turning right, going straight and turning left, and going straight and turning right are mainly identified, and the method is divided into two parts which are training and testing. In a training stage, the direction gradient histogram feature of a training sample is extracted, thus a sample characteristic and a category label are introduced into a support vector machine to carry out classification training. In a testing stage, an interested region is obtained through image pre-processing, the direction gradient histogram feature of the interested region is extracted and is sent into a classifier to carry out classification, according to the credibility of the sign to be identified obtained by the classifier belonging to each category, and combined with a DS evidence theory data integration method and a maximum credibility decision rule, a final sign identification result is determined. According to the invention, a multiple-camera data integration method based on the DS evidence theory is employed, the information of multiple cameras are integrated to obtain a final identification result, and the road traffic signs can be stably and efficiently identified.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Defense and Denial Method
ActiveUS20150347902A1Effective distributionSignificant delayComputer security arrangementsKnowledge representationCountermeasureApplication software
The presently disclosed method and system includes a network of computer devices, sensors, and actuators operating in concert with application software to actively detect, identify, and localize threats and generate real-time countermeasures designed to delay and / or mitigate damage that may be caused by the threats. Application software, in the form of automated reasoning and logic control, initiates preparatory and countermeasure sequences automatically, which may be used by users or automatically executed by the system to at least delay an attack to a physical asset / area by adversaries with use of non-lethal actuators. Learned scenarios are generated and continuously adapted via feedback loops and decision rules to provide preparatory and countermeasure sequences that maximize results with minimal expenditure of assets.
Owner:THE SECURITY ORACLE
Injection point extracting method in SQL (Structured Query Language) injection vulnerability detection
InactiveCN102831345AIncrease the analysis processSolve the problem of false positivesComputer security arrangementsSoftware testing/debuggingFiltrationSQL injection
The invention discloses an injection point extracting method in SQL (Structured Query Language) injection vulnerability detection, which is used for solving the technical problem of poor accuracy of the traditional method in the SQL injection vulnerability detection under a Web environment. According to the technical scheme, the injection point extracting method comprises the steps of: firstly, preprocessing a downloaded webpage, dividing the webpage into a simple webpage and a complex webpage, extracting a data injection point of the simple webpage, extracting a data injection point of the complex webpage, extracting a test case through constructing the test case, analyzing service response, and establishing a decision rule of an SQL injection vulnerability. According to the invention, starting from obtaining the data injection points of a Web application system, through constructing the targeted test case, the used test case is used for carrying out character string, numerical value, annotation and delay testing according to the types and the parameter compositions of the data injection points, thus the test of the injection vulnerability caused by simple filtration of URL (Uniform Resource Locator) parameters and table submitted data is effectively dealt; and through analysis response, the established decision rule of the SQL injection vulnerability is improved in testing accuracy.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Methods and computer program products for analysis and optimization of marker candidates for cancer prognosis
ActiveUS20060078926A1Accurate predictionMinimal numberMicrobiological testing/measurementProteomicsPatient careDisease cause
Methods and computer program products for evaluating and optimizing one or more markers for use in establishing a prognosis for a patient suffering from a disease are provided. More particularly, the methods include steps for systematically evaluating a number of features that may be extracted from an image of a body sample, such as a histological slide, that has been exposed to one or more biomarkers so as to establish a prognostic decision rule based on one or more of the extracted features such that the decision rule yields a prognosis that is optimally predictive of actual patient outcome. Thus, the methods and computer program products provided yield optimally predictive prognoses to assist clinicians in developing strategies for effective patient care management.
Owner:TRIPATH IMAGING INC
Method for sorting signals of radar radiation source by using coverage in complex dense environment
InactiveCN102590791ASolving Diverse Difficult-to-Describe ProblemsLocal minimaWave based measurement systemsFeature vectorPrior information
The method discloses a method for sorting signals of a radar radiation source by using coverage in a complex dense environment and relates to a radar radiation source signal sorting method by using coverage, aiming at solving the problem of poor sorting ability of the prior art in the complex dense environment as well as in a serious overlapping condition of characteristic parameters. The method comprises the following steps of: choosing the characteristic parameters of a radar signal capable of being standardized as input characteristic vectors, initializing a radar signal sample parameter space; carrying out supervisory learning on the radar signal with parameter prior information in the radar signal sample parameter space by using a coverage algorithm; separating the radar signals of different kinds by using different fields by using the coverage algorithm; expressing the membership degree of the characteristic parameters of each radar signal to be sorted and identified in relative with each field by using a cloud model, and obtaining the membership value of the membership degree of the radar signal to be sorted and identified in relative with each field; and sorting the signal to be detected by using decision rules. The method for sorting signals of the radar radiation source by using coverage in the complex dense environment is suitable for sorting radar radiation source signals.
Owner:HARBIN ENG UNIV
Method and system for detecting sound events in a given environment
A method and system for detecting abnormal events in a given environment comprises a model construction step comprising: a) a step of unsupervised initialization of Q groups; b) a step of definition of a model of normality consisting of 1-class SVM classifiers; c) a step of optimum distribution of the audio signals in the Q different groups; d) repetition of the steps b and c until a stop criterion C1, is checked and a model M is obtained; and a step of use of the model(s) M obtained from the construction step comprising the analysis of an unknown audio signal ST assigning a score to a 1-class SVM classifier, and a comparison of all the scores fq obtained using decision rules in order to determine the presence or absence of an anomaly in the audio signal analyzed.
Owner:THALES SA
Emotion recognition system and method based on wearable bracelet
ActiveCN109620262AIncrease awarenessImprove management abilitySensorsPsychotechnic devicesElectricityFeature extraction
The invention provides an emotion recognition system and method based on a wearable bracelet. The system comprises a physiological signal acquisition module, a physiological signal preprocessing module, a physiological signal feature extraction module, an emotion classification module and a comprehensive evaluation module; the physiological signal acquisition module is used for acquiring three kinds of physiological data of electrocardiograph, heart rate and skin electricity of a wearer; the physiological signal preprocessing module is used for carrying out data segmentation and denoising on the three kinds of physiological data and then transmitting the physiological data to the physiological signal feature extraction module; the physiological signal feature extraction module is used forcarrying out feature extraction on the three kinds of physiological data; the emotion classification module is used for carrying out emotion recognition on the three kinds of physiological data and outputting three emotion states; the comprehensive evaluation module adopts a weight-based voting decision rule, voting decision is carried out on the three emotional states, a current emotional state label of the wearable bracelet wearer is determined comprehensively, and a recognition result is obtained. According to the system, the cognitive and management capability of the wearer on the emotionof the wearer is improved, and a healthier psychological state can be possessed.
Owner:SOUTH CHINA UNIV OF TECH
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