| 摘要 |
<p>A method for machine learning based on attributes includes: receiving learning data of a target field including answer information to any problem to be solved, extracting at least one candidate feature vector from the learning data of the target field, determining a weight vector of the target field based on the extracted at least one candidate feature vector and a pre-stored learning model of a source field, and learning the determined weight vector as a learning model of the target field.</p> |
