| 作成者 |
|
|
|
|
|
|
|
|
|
|
|
| 本文言語 |
|
| 出版者 |
|
|
|
| 発行日 |
|
| 収録物名 |
|
| 巻 |
|
| 出版タイプ |
|
| アクセス権 |
|
| 関連DOI |
|
|
|
| 関連URI |
|
|
|
| 関連情報 |
|
|
|
| 概要 |
We present a machine learning system, called BONSAI, for knowledge acquisition from positive and negative examples of strings, and report some experiments on protein data using the PIR and GenBank dat...abases. This learning system is constructed with an algorithmic learning theory for decision trees over regular patterns, which is newly developed for this work. As a hypothesis, the system tries to find a pair of a classification of symbols called an alphabet indexing and a decision tree over regular patterns, which classifies given examples with high accuracy. Through the experiments, the system discovered very simple hypotheses that exhibit important knowledge about transmembrane domains and signal peptides.続きを見る
|
Mendeley出力
