Patent ID: 11907809
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. An information processing apparatus for training a prediction model for predicting a label to be allocated to a prediction target explanatory variable set, the information processing apparatus comprising:
a memory;
a processor communicatively coupled to the memory, wherein the processor is configured to perform operations of:
acquire a set of training data, the set of training data comprising a set of explanatory variables and a label allocated to the set of explanatory variables;
extract a plurality of explanatory variable subsets from the set of explanatory variables, wherein respective ones of the plurality of explanatory variable subsets are allocated a different weight coefficient;
generate a feature vector, concerning each of the plurality of explanatory variable subsets, the feature vector comprising a plurality of feature values;
executing Bayesian inference using prior distributions of a regression vector comprising a plurality of regression coefficients respectively corresponding to the plurality of feature values of the feature vector;
train a prediction model utilizing the plurality of explanatory variable subsets, the different weight coefficients, the feature vector, the regression vector, and an objective function to be reduced, the objective function comprising a weighted sum of terms indicating errors between labels predicted for the plurality of explanatory variable subsets based on the feature vector and the regression vector, and the label allocated to the set of explanatory variables; and
output a posterior probability distribution of the regression vector and the different weight coefficients as a training result.