Patent ID: 11880755
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. A computer program product for a classification of data by a machine learning system, the computer program product comprising one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions including instructions to:
generate a first and a second partially labelled training data set from a plurality of obtained data, wherein said first and second partially labelled data set are a subset of said plurality of obtained data and said first and second data set have a content and a context that are not identical but related to one another;
generate a plurality of logic constraints based on said content and context of said first and second partially labelled data set using at least one statistical analysis model;
generate a first embedding space from said first partially labeled training data set, wherein in the first embedding space, content relates to the first partially labeled training data;
determine at least two clusters in the first embedding space formed from the first partially labeled training data, wherein the at least two clusters are determined using at least one hyper-parameter associated with a clustering algorithm;
train a support vector machine based, at least in part, on a second partially labeled training data set and the at least two clusters, wherein the at least two clusters are used as training constraints;
determining a parameter value is below a threshold parameter value; and
perform one or more repetitions using a predefined performance criterion, wherein the predefined performance criterion changes the at least one hyper-parameter of the clustering algorithm, responsive to determining the parameter value is below the threshold parameter value, until an optimal quality parameter value is reached.