A machine discovery from amino acid sequences by decision trees over regular patterns
type: Item
instance of: scholarly article
title: A machine discovery from amino acid sequences by decision trees over regular patterns
zbMATH Open document ID: 0780.68099
DOI: 10.1007/BF03037183
author: S. Arikawa
author: Satoru Miyano
author: Ayumi Shinohara
author: Satoru Kuhara
author: Yasuhito Mukouchi
author: Takeshi Shinohara
published in: New Generation Computing
publication date: 1994-01-31T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 438558
zbMATH Keywords: machine discovery
zbMATH Keywords: pattern language
zbMATH Keywords: protein structure prediction
zbMATH Keywords: PAC learning
zbMATH Keywords: decision tree
MaRDI profile type: Publication
cites work: Q5688904
cites work: Learnability and the Vapnik-Chervonenkis dimension
cites work: Learning decision trees from random examples
cites work: Q3126929
cites work: Inferring decision trees using the minimum description length principle
cites work: Q4749224
cites work: A theory of the learnable
full work available at URL: https://doi.org/10.1007/bf03037183
OpenAlex ID: W2038580939
description: scientific article; zbMATH DE number 438558