機械学習のための方法、システムおよびコンピュータプログラム製品(埋め込みを用いるインクリメンタル機械学習)

JP7891884B2Active Publication Date: 2026-07-17INTERNATIONAL BUSINESS MACHINE CORPORATION

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
INTERNATIONAL BUSINESS MACHINE CORPORATION
Filing Date
2022-09-16
Publication Date
2026-07-17

AI Technical Summary

Benefits of technology

【0013】 また、本発明の実施形態は、機械学習モデルを再訓練することなく、結果としての候補出力を予測するためのグループに新しい候補出力を追加してもよい。これにより、コンピューティング資源およびメモリ資源を節約し、機械学習の速度を大幅に向上させることができる。

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 0007891884000001
    Figure 0007891884000001
  • Figure 0007891884000002
    Figure 0007891884000002
  • Figure 0007891884000003
    Figure 0007891884000003
Patent Text Reader

Abstract

To provide a method for incremental machine learning, a system, and a computer program product using embedding.SOLUTION: Machine learning is for generating a result including a new output, and a machine learning model is trained to determine a candidate output among a plurality of candidate outputs. A first embedding related to the plurality of candidate outputs is generated from a first set of training data by an intermediate layer of the trained machine learning model. A second embedding related to a new candidate output is generated from a second set of the training data by the intermediate layer of the trained machine learning model. A third embedding is determined for input data by the intermediate layer of the trained machine learning model. A candidate output as a result for the input data is predicted from a group of the plurality of candidate outputs, and a new candidate output based on a distance of the third embedding to the first embedding and second embedding.SELECTED DRAWING: Figure 6
Need to check novelty before this filing date? Find Prior Art