The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
법칙을 발견하는 방법은 통계적 접근과 인공지능 접근 중 후자에 더 중점을 두고 검토됩니다. 논의된 차원은 가변 종속성 검사, 수동적 또는 능동적 데이터 수집, 단일 또는 다중 법칙 발견, 정적(평형) 또는 동적(일시적) 동작, 정량적(수치) 또는 정성적 또는 구조적 법칙 발견, 영역 일반 지식의 사용입니다. 대표적인 발견 시스템 중 일부는 위의 차원에서 사용된 방법과 함께 간략하게 논의됩니다.
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Hiroshi MOTODA, Takashi WASHIO, "Discovery of Laws" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 1, pp. 44-51, January 2000, doi: .
Abstract: Methods to discover laws are reviewed from among both statistical approach and artificial intelligence approach with more emphasis placed on the latter. Dimensions discussed are variable dependency checking, passive or active data gathering, single or multiple laws discovery, static (equilibrium) or dynamic (transient) behavior, quantitative (numeric) or qualitative or structural law discovery, and use of domain-general knowledge. Some of the representative discovery systems are also briefly discussed in conjunction with the methods used in the above dimensions.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_1_44/_p
부
@ARTICLE{e83-d_1_44,
author={Hiroshi MOTODA, Takashi WASHIO, },
journal={IEICE TRANSACTIONS on Information},
title={Discovery of Laws},
year={2000},
volume={E83-D},
number={1},
pages={44-51},
abstract={Methods to discover laws are reviewed from among both statistical approach and artificial intelligence approach with more emphasis placed on the latter. Dimensions discussed are variable dependency checking, passive or active data gathering, single or multiple laws discovery, static (equilibrium) or dynamic (transient) behavior, quantitative (numeric) or qualitative or structural law discovery, and use of domain-general knowledge. Some of the representative discovery systems are also briefly discussed in conjunction with the methods used in the above dimensions.},
keywords={},
doi={},
ISSN={},
month={January},}
부
TY - JOUR
TI - Discovery of Laws
T2 - IEICE TRANSACTIONS on Information
SP - 44
EP - 51
AU - Hiroshi MOTODA
AU - Takashi WASHIO
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2000
AB - Methods to discover laws are reviewed from among both statistical approach and artificial intelligence approach with more emphasis placed on the latter. Dimensions discussed are variable dependency checking, passive or active data gathering, single or multiple laws discovery, static (equilibrium) or dynamic (transient) behavior, quantitative (numeric) or qualitative or structural law discovery, and use of domain-general knowledge. Some of the representative discovery systems are also briefly discussed in conjunction with the methods used in the above dimensions.
ER -