3624 results about "Labeled data" patented technology

Techniques associated with intelligent device connection for wireless media ecosystem are described, including receiving, by a media device, a first control signal from another media device implementing a connection awareness device, the first control signal configured to cause the media device to access data associated with playing a media content being played by the other media device, obtaining marker data from the other media device, the marker data representing a marker associated with the media content, retrieving content data from using the marker data, the content data configured to play the media content starting at a point indicated by the marker data, and sending a second control signal to the other media device, the second control signal configured to indicate a completion of synchronization with the other media device.

A method for organizing records of a database by topical relevance generates statistics on relevance by monitoring search terms used and search paths traversed by a database user community. Records reviewed most often in relation to a given search term are assumed to be most relevant to that search term in the eyes of members of the user community. Additionally, a record reviewed in relation to a plurality of search terms is determined to be related by topical relevance to other records reviewed in relation to that plurality of search terms. Again, a probability is calculated, based on a frequency of record review and search terms used, as a measure of this record topical relevance. An embodiment directed toward Internet searches provides for seeding the probability calculations with information from labeled data available from open source Internet directories. The activities of the user community are monitored, for example, at a proxy server, or by reviewing proxy server logs. Other monitoring points are contemplated.

A mechanism is provided for making information about the virtual disk image file and/or its associated virtual image configuration file more readily available to a user. The virtual disk image file format is expanded to include fields in which information about the data in the file can be stored. Extensible information on file content, compatible HW configurations, compatible host OSes, timeout status, DRM status, patch state, and network topology, tag data for indexing, configuration files, saved state files, operation history data, and the like is stored in a location within a virtual disk image file that can be read without executing the virtual machine. This information can then be used to search the contents of the virtual disk image, to enforce usage policies, to provide extensibility for vendors, and the like.

A method, system, and computer program product for autonomously transcribing and building tagging data of a conversation. A corpus processing agent monitors a conversation and utilizes a speech recognition agent to identify the spoken languages, speakers, and emotional patterns of speakers of the conversation. While monitoring the conversation, the corpus processing agent determines emotional patterns by monitoring voice modulation of the speakers and evaluating the context of the conversation. When the conversation is complete, the corpus processing agent determines synonyms and paraphrases of spoken words and phrases of the conversation taking into consideration any localized dialect of the speakers. Additionally, metadata of the conversation is created and stored in a link database, for comparison with other processed conversations. A corpus, a transcription of the conversation containing metadata links, is then created. The corpus processing agent also determines the frequency of spoken keywords and phrases and compiles a popularity index.

A system capable of dynamically reserving bandwidth and adjusting bandwidth reservations for active sessions of data communication in a data communications device is provided. The system generally separates the operation of bandwidth allocation and adjustment from the operation of data transport through the device, thereby allowing bandwidth reservations and adjustments to be made without disturbing sessions of data communication that are actively being transported through the device. The system can accept requests to allocate or reserve bandwidth in a data communications device using bandwidth reservation protocols such as RSVP. The reservation requests create sender state data that can be used to compute resource allocation data. The resource allocation data can be used to label data storage locations in a data storage mechanism according to the required bandwidth reservations. A data scheduling apparatus, which is ignorant of particular sessions and specific amounts of reserved bandwidth, examines data and deposits data into data storage locations having a label corresponding to a session identification specified in the data, if any. If an unknown or no session identification is specified in the data, the data scheduler deposits data into a data storage location that is unlabeled or that has an unreserved label. Thus session bandwidth is determined by the percentage of labeled data storage locations for the session. Changes in bandwidth reservations are reflected in the separate operation of alterations made in the data storage labeling scheme, and do not affect the data scheduler, or data dequeuing mechanisms, thus allowing data sessions to continue without interruption during bandwidth adjustments.

A Wireless mobile communication (WMC) device may maintain user preference information, which is unique to the WMC device capabilities and the device user. The WMC device may modify and/or update the user preference information based on device use and information ascertained from applications running on the WMC device itself; for example scheduling applications. The user preference information may be utilized to create context data tags for generated data on the WMC device. Context data tags may comprise such information as time/date stamping, subject information, and/or location information. The context data tags may be utilized to tag the generated data, enabling continuous and improved cataloging. Improved cataloging may enable improved searchability of tagged data. Tagged data alternatively and/or additionally may be transferred and stored in a remote device for improved and secure back-up storage. The remote device may utilize context data tags for cataloging and storing received data.

A system and method for analyzing data from a plurality of computer environments. The computer environments are authenticated and data is imported to a memory location. The data is converted into a uniform format to enable expedited searching by one or more authenticated users. The data may be marked so that a user may determine which computer environment provided the data. The system may also create one or more indexes of the data to assist one or more users in searching the data.

A system and method for analyzing data from a plurality of computer environments. A user may search for computer environments that meet a certain criterion. The computer environments are authenticated and data is copied from the computer environments to a memory location. The data may be marked so that a user may determine which computer environment provided the data. The user may add notations to the data during a review. Changes to data on the computer environments may be provided to a user using a syndication feed.

The ingestible event marker data framework provides a uniform, comprehensive framework to enable various functions and utilities related to ingestible event marker data (IEM data). The functions and utilities include data and/or information having an aspect of data derived from, collected by, aggregated by, or otherwise associated with, an ingestion event.

A system and method for parsing an electronic media database structure to produce tagged data that preserves the content, links, and electronic media structure. In particular, HyperText Markup Language (HTML) data is generated as an Interactive Electronic Technical Manual (IETM) (home page) linked into a relative structure of Web pages to support IETM deployment. An extraction process assesses the functionality associated with each node designated for presentation and builds a virtual Web, based on attributes stored in the IETM database. A series of Web pages with links that hierarchically presents IETM data at run time is produced. The method supports a data warehousing strategy that converts any data type eligible within the relational database. This expands support across multiple types of technical and engineering data. The preferred implementation utilizes a relative addressed pure HTML solution viewable in standard Web browsers. This open system implementation is cross platform and infrastructure independent, requiring no special server software. Retaining the hierarchical structure dictated by the relational database in HTML output enhances the supportability and maintainability of the Web implementation. Updates to this Web implementation can be incrementally applied within the hierarchy (small sections of data) or the entire logical sections of Web data.

A method of automatically labeling of unlabeled text data can be practiced independent of human intervention, but that does not preclude manual intervention. The method can be used to extract relevant features of unlabeled text data for a keyword search. The method of automated labeling of unlabeled text data uses a document collection as a reference answer set. Members of the answer set are converted to vectors representing centroids of unknown groups of unlabeled text data. Unlabeled text data are clustered relative to the centroids by a nearest neighbor algorithm and the ID of the relevant answer is assigned to all documents in the cluster. At this point in the process, a supervised machine learning algorithm is trained on labeled data, and a classifier for assigning labels to new text data is output. Alternatively, a feature extraction algorithm may be run on classes generated by the step of clustering, and search features output which index the unlabeled text data.

Techniques for creating training sets for predictive modeling are provided. In one aspect, a method for generating training data from an unlabeled data set is provided which includes the following steps. A small initial set of data is selected from the unlabeled data set. Labels are acquired for the initial set of data selected from the unlabeled data set resulting in labeled data. The data in the unlabeled data set is clustered using a semi-supervised clustering process along with the labeled data to produce data clusters. Data samples are chosen from each of the clusters to use as the training data. The selecting, presenting, clustering and choosing steps are repeated with one or more additional sets of data selected from the unlabeled data set until a desired amount of training data has been obtained, wherein at each iteration an amount of the labeled data is increased.

A cryptographic key split combiner, which includes a number of key split generators for generating cryptographic key splits and a key split randomizer for randomizing the cryptographic key splits to produce a cryptographic key, and a process for forming cryptographic keys. Each of the key split generators generates key splits from seed data. The key split generators may include a random split generator for generating a random key split based on reference data. Other key split generators may include a token split generator for generating a token key split based on label data, a console split generator for generating a console key split based on maintenance data, and a biometric split generator for generating a biometric key split based on biometric data. All splits may further be based on static data, which may be updated, for example by modifying a prime number divisor of the static data. The label data may be read from a storage medium, and may include user authorization data. The resulting cryptographic key may be, for example, a stream of symbols, at least one symbol block, or a key matrix.

Provided are systems and methods related to converting unlabeled data into structured and labeled data for answering one or more single-entity-single-relation questions. The systems and methods automates the labeling of data to generate training data for machine learning. The systems and methods identify and import question and answer pairs from an user generated discussion platform and access a knowledge base questions to extract questions by supervised extraction. The extracted questions are further filtered to remove mislabeled questions. When a question is posed, it is parsed for entity and relation, and an answer is identified by searching through the knowledge base.

An automated data management system and method for logging, processing, and reporting a large volume of data having different file types, stored on different media, and/or run by different operating systems, includes a first server processor for restoring a plurality of received data files, the data files being capable of being different file types; a file organizing/categorizing processor for organizing the received data files, based on a predetermined user list, into a source directory structure and a destination directory structure; a file logging processor for logging the received data files into a database formed by the source and destination directory structures and identifying a file type of the received data files; a de-duplicate processor for calculating a SHA value of the received data files to determine whether the received data files have duplicates and flagging duplicated data files in the database; an image conversion processor for converting the remaining data files into image files, respectively; and a second server processor for exporting the image files.

A new technique for fast alternate-path automatic rerouting of labeled data packets normally routed over a predetermined primary label switched path upon failure or congestion in the primary path.

A system for assessing the state of an RF network includes a plurality of wireless devices coupled to the network and having one or more associated antennae, the wireless devices configured to process data received from a plurality of RF elements within range of the antennae. An RF switch is coupled to the network and configured to receive the data and transmit the data over the network. A first memory within the RF switch is configured to store a system state comprising a plurality of performance indicators, wherein each of the performance indicators is associated with an operational characteristic of one or more of the plurality of wireless devices. A second memory within the RF switch is configured to store a plurality of labeled data entries, the labeled data entries each including the system state and a user-entered identifier, wherein the user-entered identifier includes information related to the time at which the system state was selected. A display coupled to the network is configured to display a comparison of the system states.

Objects captured over a network by a capture system can be indexed to provide enhanced search and content analysis capabilities. In one embodiment the objects can be indexed using a data structure having a source address field to indicate an origination address of the object, a destination address field to indicate a destination address of the object, a source port field to indicate an origination port of the object, a destination port field to indicate a destination port of the object, a content field to indicate a content type from a plurality of content types identifying a type of content contained in the object, and a time field to indicate when the object was captured. The data structure may also store a cryptographic signature of the object to ensure the object is not altered after capture.