Learning device, learning method, and learning program
AssigneeNEC Corporation
InventorsYasuhiro SOGAWA, Tomoya SAKAI
Life of this patent
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Abstract
A target task attribute estimation unit 81 estimates an attribute vector of an existing predictor based on samples in a domain of a target task, and estimates an attribute vector of the target task based on a transformation method for transforming labeled samples into a space consisting of the estimated attribute vector based on a result of applying the labeled samples of the target task to the predictor. A prediction value calculation unit 82 calculates a prediction value of a prediction target sample to be transformed by the transformation method based on the attribute vector of the target task.
Claims13
A learning device comprising a hardware processor configured to execute a software code to:
- estimate an attribute vector of an existing predictor based on samples in a domain of a target task, and estimate an attribute vector of the target task based on a transformation method for transforming labeled samples into a space consisting of the attribute vector estimated based on a result of applying the labeled samples of the target task to the predictor;
- and
- calculate a prediction value of a prediction target sample to be transformed by the transformation method based on the attribute vector of the target task.
A learning method, executed by a computer, comprising:
- estimating an attribute vector of an existing predictor based on samples in a domain of a target task, and estimating an attribute vector of the target task based on a transformation method for transforming labeled samples into a space consisting of the attribute vector estimated based on a result of applying the labeled samples of the target task to the predictor;
- and
- calculating a prediction value of a prediction target sample to be transformed by the transformation method based on the attribute vector of the target task.
A non-transitory computer readable information recording medium storing a learning program, when executed by a processor, that performs a method for:
- estimating an attribute vector of an existing predictor based on samples in a domain of a target task, and estimating an attribute vector of the target task based on a transformation method for transforming labeled samples into a space consisting of the attribute vector estimated based on a result of applying the labeled samples of the target task to the predictor;
- and
- calculating a prediction value of a prediction target sample to be transformed by the transformation method based on the attribute vector of the target task.
Dependencies are inferred from the claim text.