142 results about "Generative systems" patented technology

Systems and methods for performing fraud detection. As an example, a system and method can be configured to build a set of predictive models to predict credit card or debit card fraud. A first predictive model is trained using a set of training data. A partitioning criterion is used to determine how to partition the training data into partitions. Another predictive model is trained using at least one of the partitions of training data in order to generate a second predictive model. The predictive models are combined for use in predicting credit card or debit card fraud.

Disclosed are methods, apparatus, systems, and non-transitory, tangible computer-readable media associated with generating bids for multi-channel advertising environments, including in embodiments, generating a multi-channel advertising model. A multi-channel advertising model may be generated and used to estimate the effect of various advertisements and / or events that occur to an individual advertisee across various modeled advertising channels. An advertisee may be tracked across multiple channels, such as, for example, by using one or more cookies as the advertisee visits various web sites. Embodiments may calculate marginal contributions to a conversion event by various advertising events that have occurred along the sales funnel. Various revenue attributions may be generated as a function of a marginal contribution that an event had on the final conversion. Embodiments may provide an advertiser with estimates of the advertisee's value through time as well as how the advertisee's value evolves based on events taken by the advertisee and / or by changing exposure levels across multiple channels. From these estimates, a bidding strategy directing bids for advertising events may be generated for use by an advertiser.

A processor generation system includes the ability to describe processors with three instruction sizes. In one example implementation, instructions can be 16-, 24- and 64-bits. This enables a new range of architectures that can exploit parallelism in architectures. In particular, this enables the generation of VLIW architectures. According to another aspect, the processor generator allows a designer to add a configurable number of load / store units to the processor. In order to accommodate multiple load / store units, local memories connected to the processor can have multiple read and write ports (one for each load / store unit). This further allows the local memories to be connected in any arbitrary connection topology. Connection box hardware is automatically generated that provides an interface between the load / store units and the local memories based on the configuration.

A method is provided for generating a graph data representation having a plurality of nodes corresponding to respective systems engineering requirements. The method includes accessing a first data representation of a collection of systems requirements and relationships therebetween and generating a second data representation of the collection of systems requirements. The generating the second data representation includes accessing respective systems requirements of the collection of systems requirements; creating a node to correspond to each accessed systems requirement if a node corresponding to the accessed systems requirement does not exist; and creating an edge between the created or pre-existing node and each node corresponding to a systems requirement having a relationship with the accessed systems requirement. Each node of the second data representation is a node of said graph data representation and corresponds to a different systems requirement of the collection of systems requirements.

A method and system for performing placement-driven physical hierarchy generation in the context of an integrated circuit layout generation system is provided. This generation optimizes the physical hierarchy to improve placement of the cells in the layout, and the associated interconnect routability and delay. A new pre-clustering phase is introduced to maintain as much of the input logical hierarchy as possible while maintaining physical hierarchy quality. And a new cost function is described which is based on measuring the mutual affinity of cells in a virtually-flat placement. The new cost function is used during the new pre-clustering phase, as well as the common clustering, partitioning, and declustering / refinement phases of physical hierarchy generation.

An affinity generation system according to the present invention analyzes a profiled user's authorship and document usage within an ‘intranet’ to create a set of affinities between documents and topical classifications used in a hierarchical content catalog. These affinities are weighted depending on the system usage and amount of collected evidence. Once a certain threshold has been reached, the threshold being fixed or dynamically set to achieve a desired policy, the affinities are published into the content catalog. The user looking for specific expertise can then search or browse the content catalog and find both documents and people with strong affinities to the selected content area.

Methods and systems for I / O resource management that may be employed to manage information management system I / O resources based on modeled and / or monitored I / O resource information, and that may be implemented to optimize information management system I / O resources for the delivery of a variety of data object types, including continuous streaming media data files. The methods and systems may be implemented in an adaptive manner that is capable of optimizing information management system I / O performance by dynamically adjusting information management system I / O operational parameters to meet changing requirements or demands of a dynamic application or information management system I / O environment using a resource management architecture. The resource management architecture may include, for example, a resource manager, a resource model, a storage device workload monitor and / or a storage device capacity monitor. The resource model may be configured to generate system performance information based on monitored storage device workload and / or storage device capacity information. The resource manager may be configured to manage information management system I / O operation and / or resources using the system performance information.

The present disclosure pertains to a paraphrase generation system. The system comprises one or more hardware processors and / or other components. The system is configured to obtain a training corpus. The training corpus comprises language and known paraphrases of the language. The system is configured to generate, based on the training corpus, a word-level attention-based model and a character-level attention-based model. The system is configured to provide one or more candidate paraphrases of a natural language input based on both the word-level and character-level attention-based models. The word-level attention-based model is a word-level bidirectional long short term memory (LSTM) network and the character-level attention-based model is a character-level bidirectional LSTM network. The word-level and character level LSTM networks are generated based on words and characters in the training corpus. In some embodiments, the LSTM networks are stacked residual LSTM networks comprising residual connections between stacked layers of a given LSTM network.

An interactive method and web-based system to provide information to leads generated by different forms of advertising and to provide these leads to the client's knowledge to use in the sale of products. The system gathers information in various ways about customers through telephone calls in which information is gathered using audio and DTMF input that is then stored in a relational database to help the client maximize the usefulness of the lead. Interaction with the lead is via the website. All variable data used in the program is stored in a database. The IVR script is built dynamically using snippets of pre-recorded audio played in a sequence along with audio generated by a text-to-speech (TTS) engine. Once the call is completed, the web based system notifies the client of the presence of a new lead via fax and / or email. The client can elect to use the follow-up mail piece to be sent immediately to make sure the customer gets the information from another source, instead of just the IVR system. The information provided by the customer during the phone call is stored in a database and accessed via a web-based program to analyze the data of each customer and this allows the client to run respective reports which will provide information on balancing inventory, various customer activity reports by date and time, geographic location of customers, and the like.

A system, device, and method for generating and employing risk-based flight path data are disclosed. The system for employing risk-based flight path data may include one or more one avionics systems and / or remote aircraft operator systems configured to receive risk-based flight path data from a route generator (RG). The RG may acquire navigation data representative of one or more waypoints, acquire risk object data based upon the navigation data, determine the risk-based flight path data representative of a risk-based flight path as a function of the acquired navigation data, the acquired risk data, and a route generating algorithm, and provide the flight path data to the one or more avionics systems and / or remote aircraft operator systems. In some embodiments, the risk object data may include a plurality of risk clearance altitudes. In other embodiments, the risk object data may include a plurality of risk clearance elevations.

Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and / or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.

The system includes a road scenario sensor, a vehicle control unit, and a computer processing unit. The road scenario sensor detects upcoming road scenarios for the system vehicle. The computer processing unit receives an input from the road scenario sensor and determines a upcoming driving event based upon the detected upcoming road scenarios. The computer processing unit compares the upcoming driving event with an ideal emissions model having acceptable emission thresholds to determine an adaptive driving strategy. The adaptive driving strategy configures the system vehicle to reduce emissions for the upcoming driving event. The adaptive driving strategy optionally includes an optimal acceleration rate and / or an optimal power management strategy. The optimal acceleration rate is based upon the required speed of the vehicle at the upcoming driving event and the distance from the vehicle to the upcoming driving event, and the ideal emissions model having acceptable emission thresholds.

Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and / or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.

The invention discloses a scene generation system and method for autonomous vehicle measurement. The system comprises a testing content generation module, a testing site library, a testing site layoutmodule, and a testing route generation module. The testing content generation module is configured to acquire testing demands and generating corresponding testing contents according to the testing demands; the testing site library is configured to store characteristic information of testing sites; the testing site layout module is configured to selecting the testing site matched with the testingcontents according to the characteristic information of the testing sites, and generating and outputting testing layout parameters of the testing site; the testing route generation module is configured to generate and output corresponding testing route data according to the testing contents and the testing site selected by the testing site layout module. According to the scene generation system and method for autonomous vehicle measurement, corresponding measurement scenes can be generated and provided for testing of autonomous vehicles according to actual testing demands.

The invention provides a power grid switching operation ticket automatic generating system and method based on 'scheduling instruction parsing modes' and aims to solve the problems that the operation tasks of the existing scheduling instructions are manually parsed by operators, filling in switching operation tickets by the aid of a five-prevention system is time consuming, and operation ticket filling in errors are possible. The invention provides a method and a system for automatically generating a scheduling instruction ticket and aims to solve the problems that in large complex operations, scheduling operations are not optimized, switching operations have many procedures and are time consuming, and power grid transition operations and switching operations are high in risk.

An automated Web portal template generation method includes parsing, via a parser subsystem, a number of Webpages of a first Website from which a Web portal template to be customized is to be accessed. The method further includes producing an entity feature set for the first Website based on a result of the parsing and processing the entity feature set for the first Website via a classifier subsystem to produce a set of data that represents, for each of a plurality of entities, a respective probability of the entity belonging to a respective one of a plurality of classes. The method additionally includes performing, by a color matching subsystem, color matching on the set of data produced by the classifier subsystem to generate a number of proposed color combinations for a proposed customization of the Web portal template.

An iris recognition system and method generates a one-dimensional iris signature that is translation, rotation, illumination and scale invariant. It allows users to enroll poor quality iris images that would be rejected by conventional methods. In addition, the system and method generates a list of possible matches instead of only the best match. In this way, the users could potentially identify the iris image by deeper analysis (such as using traditional iris recognition algorithm for more accurate iris identification). Further, the system and method permits more toleration of noise (such as glare introduced by contact lens or eye glasses). Finally, the system and method improves iris identification process computational efficiency. The system stores a one-dimensional signature as opposed to the conventional two-dimensional image.

The invention provides a semantization service generation system and method based on a graph mining technique. The system is built based on a traditional server and comprises multiple techniques including natural language participles, graph mining, clustering, semantization analysis, service procedure generation and service execution. After a user collects and analyzes application requirements with a natural language or text description, key words are naturally extracted, service requirements are analyzed, usable services and combination modes thereof are mined in a built Web service tree graph, and ultimately, in a system integration operation environment, the services are automatically carried out and execution results are fed back. The system and method have the advantages that operations are directly carried out on the requirements of the user for the natural language or the text description, semantization features are emphasized, the service execution environment is integrated, the service operation results are directly obtained, use habits and requirements of the user are met, widening of a user range is facilitated, automatic operation and maintenance of the system are achieved, and the system and method are suitable for the distributive execution environment.

According to one aspect, an autonomous vehicle policy generation system may include a state input generator generating a set of attributes associated with an autonomous vehicle undergoing training, a traffic simulator simulating a simulation environment including the autonomous vehicle, a roadway associated with a number of lanes, and another vehicle within the simulation environment, a Q-masker determining a mask to be applied to a subset of a set of possible actions for the autonomous vehicle for a time interval, and an action generator exploring a remaining set of actions from the set of possible actions and determining an autonomous vehicle policy for the time interval based on the remaining set of actions and the set of attributes associated with the autonomous vehicle.

A system and methods for generating dynamic market pricing that is fair for both publishers and advertisers and the use of the pricing in real-time auctions. When a user views content over the internet, an online publisher provides content to the user with executable instructions, which notify an advertisement source that there is an impression for filling by an advertiser. The impression is submitted to a real-time bidding market for competing advertisers to bid to fill the impression with an advertisement. The system and methods generate dynamic pricing for the individual competing advertisers and use the dynamic pricing to compare advertiser bids to determine a highest or winning bid and a clearing price associated with the highest or winning bid.

Glyph instructions are formed which are understandable by a person following the instructions, irrespective of which written language is understood by the person. The glyph instructions follow defined grammar and syntax rules. A plurality of action glyphs are used to represent a plurality of defined actions capable of being undertaken by the person following the instructions. A plurality of material glyphs are defined to represent a plurality of materials which are includable as part of the instruction, and a plurality of instrumentation glyphs are defined to represent a plurality of instruments which may be included in the instructions. Selected ones of the action glyphs, material glyphs and instrumentation glyphs are arranged in relationship to each other in accordance with the predetermined grammar and syntax to form specific instructions understandable by the person following the instruction, irrespective of the written language which is understood by the person.

Systems and methods for e-commerce systems using natural language understanding are described. A computing device is configured receive a user utterance and identify at least one semantic element within the user utterance. An intent associated with the at least one semantic element is identified and an intent flow associated with the identified intent is executed. The intent flow includes a set of tasks executed in a predetermined order. A system utterance is generated by instantiating a response template selected from a plurality of response templates associated with the executed intent.

The present invention relates to a method for generating hypotheses automatically from graphical models built directly from data. The method of the present invention links three key scientific concepts to enable hypothesis generation from data driven hypothesis-models: including the use of information theory based measures to identify informative feature subsets within the data; the automatic generation of graphical models from the informative data subsets identified from step one; and the application of optimization methods to graphical models to enable hypothesis generation. The integration of these three concepts can enable scalable approaches to hypothesis generation from large, complex data environments. The use of graphical models as the model representation can allow prior knowledge to be effectively integrated into the modeling environment.

The invention relates to an emoji package generation system based depth learning. The system comprises a neural network control unit, a video processing module, a power module, a neural network training module, a neural network feedback module, a neural network test module, a test result post-processing module, a camera information processing module, a camera unit, a model storage module and a video database. The generative adversarial network (GAN) architecture is perfectly built, training difficulty is relatively low, the adversarial training method is employed by the GAN, the network does not directly replicate or average real data, so diversity of generated samples is enhanced, intelligent expression of a target portrait is realized, and generation of the above emoji package is realized in real time through automated calculation design.

An exemplary video generation system (the “system”) receives a plurality of overlapping and concurrently-captured video instances from a plurality of video capture devices in a static configuration. The system temporally synchronizes concurrently-captured video data from each video instance to form a plurality of image sets and identifies a particular image set from the plurality of image sets. The system then performs a camera registration process on the particular image set in order to determine camera registration parameter data. Based on the camera registration parameter data determined using the camera registration process with respect to the particular image set, the system then performs a video stitching process on each of the image sets within the plurality of image sets to form stitched video content representative of a scene captured by the plurality of video capture devices in the static configuration. Corresponding methods and systems are also disclosed.

Control points needed to generate a curve becoming the route of a deformable linear structure from respective pieces of passing point information defined at two passing points are arranged and the initial arrangement of control points needed to generate a curve is determined by performing re-arrangement of the control points, on the basis of a positional relation between the control points thus arranged. The curve between two points is re-generated from the initial arrangement thus determined while modifying the arrangement of one or more control points, the re-generated curves are then evaluated and a curve meeting a predetermined condition is extracted from among the curves.