Targeted data acquisition for model training
AssigneeInternational Business Machines Corporation
InventorsNamit Kabra, Ritesh Kumar Gupta, Vijay Ekambaram, Smitkumar Narotambhai Marvaniya
Life of this patent
Estimating the term…
Abstract
Targeted acquisition of data for model training includes identifying attributes of classified samples of a collection of samples classified by a classification model, and generating at least one query based on the identified attributes, the at least one query tailored, based on the attributes, to retrieve additional training data for training the classification model to more accurately classify samples and avoid incorrect sample classification.
Claims25
A computer-implemented method comprising:
- identifying attributes of classified samples of a collection of samples classified by a classification model;
- and
- generating at least one query based on the identified attributes, the at least one query tailored, based on the attributes, to retrieve additional training data for training the classification model to more accurately classify samples and avoid incorrect sample classification.
A computer system comprising:
- a memory;
- and
- a processor in communication with the memory, wherein the computer system is configured to perform a method comprising:
- identifying attributes of classified samples of a collection of samples classified by a classification model;
- and
- generating at least one query based on the identified attributes, the at least one query tailored, based on the attributes, to retrieve additional training data for training the classification model to more accurately classify samples and avoid incorrect sample classification.
A computer program product comprising:
- a computer readable storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising:
- identifying attributes of classified samples of a collection of samples classified by a classification model;
- and
- generating at least one query based on the identified attributes, the at least one query tailored, based on the attributes, to retrieve additional training data for training the classification model to more accurately classify samples and avoid incorrect sample classification.
Dependencies are inferred from the claim text.