Patent ID: 11966819
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. A computer system, comprising:
one or more processors;
one or more memory devices coupled to the one or more processors;
and one or more computer readable storage devices coupled to the one or more processors, wherein the one or more storage devices contain program code executable by the one or more processors via the one or more memory devices to implement a method for training classifiers in machine learning, the method comprising:
receiving, by the one or more processors of the computer system, a corpus of training data;
generating, by the one or more processors of the computer system, one or more clusters of the training data according to features of the training data;
comparing, by a cluster refining rule elicitation module of the computer system, neighboring clusters of the one or more clusters to automatically extract boundary rules for suggestion of a user for selection, confirmation and/or editing;
interacting with the user, by the cluster refining rule elicitation module of the computer system, to elicit user-specified rules by suggesting the extracted boundary rules; automatically refining, by the one or more processors of the computer system, the one or more clusters using the user-specified rules, wherein the refining further includes: assigning subsets of the corpus of training data in or out of clusters of the one or more cluster using the user-specified rules; and using a generative model to resolve conflicts in the assigning; and
training, by one or more processors of a computer system, multiple classifiers for use in machine learning based upon the refined one or more clusters.