Training classifiers in machine learning
AssigneeInternational Business Machines Corporation
InventorsQingzi Liao, Yunfeng Zhang, Michael Desmond, Rachel Katherine Emma Bellamy
Life of this patent
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Abstract
An approach is provided for training classifiers used in machine learning. A corpus of training data is received. One or more clusters of the training data is generated according to features of the training data. The one or more clusters are refined using user-specified rules. One or more classifiers are trained for use in machine learning based upon the refined one or more clusters.
Claims20
A method for training classifiers used in machine learning, the method comprising:
- receiving, by one or more processors of a 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;
- refining, by the one or more processors of the computer system, the one or more clusters using user-specified rules;
- and
- training, by one or more processors of a computer system, one or more classifiers for use in machine learning based upon the refined one or more clusters.
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 one or more processors of a 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;
- refining, by the one or more processors of the computer system, the one or more clusters using user-specified rules;
- and
- training, by one or more processors of a computer system, one or more classifiers for use in machine learning based upon the refined one or more clusters.
A computer program product, comprising one or more computer readable hardware storage devices storing a computer readable program code, the computer readable program code comprising an algorithm that when executed by one or more processors of a computing system implements a method for training classifiers in machine learning, the method comprising:
- receiving, by one or more processors of a 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;
- refining, by the one or more processors of the computer system, the one or more clusters using user-specified rules;
- and
- training, by one or more processors of a computer system, one or more classifiers for use in machine learning based upon the refined one or more clusters.
Dependencies are inferred from the claim text.