METHOD AND SYSTEM FOR PERFORMING HIERARCHICAL CLASSIFICATION OF DATA

    公开(公告)号:US20240362256A1

    公开(公告)日:2024-10-31

    申请号:US18528993

    申请日:2023-12-05

    Applicant: VETTD, INC.

    CPC classification number: G06F16/285 G06F16/353 G06N3/045

    Abstract: A method for performing hierarchical classification of data is disclosed. The method is being executed by at least one processing device. The method includes receiving input data for encoding into multiple channels. Further, the method includes extracting one or more features and one or more temporal structures corresponding to the input data. The method further includes identifying one or more feature dependences in the input data. Further, the method includes combining the extracted one or more features corresponding to the input data, the extracted one or more temporal structures of the input data, and the identified one or more feature dependencies in the input data into a combined feature set. Thereafter, the method includes classifying the combined feature set into one or more output classes, and thereby performing the hierarchical classification of data.

    SYSTEMS AND METHODS FOR MULTI-DIMENSIONAL RANKING OF EXPERTS

    公开(公告)号:US20240362237A1

    公开(公告)日:2024-10-31

    申请号:US18655912

    申请日:2024-05-06

    CPC classification number: G06F16/24578 G06F16/2428 G06F16/285

    Abstract: Various embodiments are provided herein for systems and methods for real-time, or near real-time, multi-dimensional ranking of experts. In at least one embodiment, receiving one or more evaluation datasets; for each given evaluation dataset, associating the evaluation dataset with: (i) at least one evaluation data category, (ii) at least one taxonomy category, and (iii) at least one expert of the plurality of experts; subsequently, receiving one or more search filter criteria for ranking at least a subset of the plurality of experts; generating a ranking of the at least subset of the plurality of experts, wherein the ranking is based on the search filter criteria, and is further generated based on the associations determined for each evaluation dataset; and displaying, on a user interface, at least a portion of the plurality of rankings as the multi-dimensional ranking of the plurality of experts.

    Apparatus and method for data ingestion for user specific outputs of one or more machine learning models

    公开(公告)号:US12125410B1

    公开(公告)日:2024-10-22

    申请号:US18381054

    申请日:2023-10-17

    Applicant: edYou

    Inventor: Michael Everest

    CPC classification number: G09B7/02 G06F16/285 G06F16/951 G09B5/065 G06N20/00

    Abstract: An apparatus for data ingestion and manipulation, the apparatus including at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive a resource data file from one or more data acquisition systems, classify the resource data file to one or more educational categorizations, generate an educational module as a function of the resource data file and the classification of the educational categorizations wherein the education module comprises one or more machine learning models, retrieve a user profile of a plurality of user profiles as a function of a user input, create user-specific outputs as a function of the educational module, the user profile, and a conversational input and generate a virtual avatar model as a function of the user specific outputs.

    Document classification device and trained model

    公开(公告)号:US12118308B2

    公开(公告)日:2024-10-15

    申请号:US17041299

    申请日:2019-05-29

    Inventor: Taishi Ikeda

    Abstract: A document classification device is a device that generates a document classification model which outputs identification information for identifying a result of classification on the basis of an input document by machine learning, and includes: an acquisition unit configured to acquire learning data including a document and the identification information correlated with the document; a feature extracting unit configured to extract words included in the document and character information which is a character string including one character of characters constituting the words or a plurality of characters consecutive in the words and which is one or more pieces of information capable of being extracted from the words as features; and a model generating unit configured to perform machine learning on the basis of the feature extracted from the document and the identification information correlated with the document and to generate the document classification model.

    AUTOMATIC CREATION AND UPDATING OF EVENT GROUP SUMMARIES

    公开(公告)号:US20240333752A1

    公开(公告)日:2024-10-03

    申请号:US18740314

    申请日:2024-06-11

    Applicant: SPLUNK INC.

    Abstract: A disclosed computer-implemented method includes receiving and indexing the raw data. Indexing includes dividing the raw data into time stamped searchable events that include information relating to computer or network security. Store the indexed data in an indexed data store and extract values from a field in the indexed data using a schema. Search the extracted field values for the security information. Determine a group of security events using the security information. Each security event includes a field value specified by a criteria. Present a graphical interface (GI) including a summary of the group of security events, other summaries of security events, and a remove element (associated with the summary). Receive input corresponding to an interaction of the remove element. Interacting with the remove element causes the summary to be removed from the GI. Update the GI to remove the summary from the Gl.

    LOGICAL PARTITIONING OF MEMORY WITHIN A COMPUTING DEVICE

    公开(公告)号:US20240330265A1

    公开(公告)日:2024-10-03

    申请号:US18741519

    申请日:2024-06-12

    Applicant: Ocient Inc.

    CPC classification number: G06F16/2282 G06F9/4881 G06F16/24532 G06F16/285

    Abstract: A method includes a host computing device receiving a segment group of data. The method further includes the host computing device evaluating availability status of other computing devices in the storage cluster of computing devices. When one of the other computing devices is unavailable, the method further includes the host computing device dividing the segment group of data into a plurality of lines of data blocks. For a line of the data blocks, the method further includes the host computing device generating at least one parity block. The method further includes the host computing device sending a first data segment that includes first positioned data blocks to a first available computing device. The method further includes the host computing device sending a second data segment that includes second positioned data blocks to a second available computing device. The method further includes the host computing device storing a parity segment.

Patent Agency Ranking