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Volumn 34, Issue 9, 2015, Pages 634-647

Greedy and Linear Ensembles of Machine Learning Methods Outperform Single Approaches for QSPR Regression Problems

Author keywords

Greedy ensembles; Linear ensembles; Machine Learning; Quantitative structure property relationships

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; CONTROLLED STUDY; COST; DATA ANALYSIS; HISTOGRAM; IMAGE PROCESSING; K NEAREST NEIGHBOR; KERNEL METHOD; MACHINE LEARNING; MELTING POINT; PARTIAL LEAST SQUARES REGRESSION; PARTITION COEFFICIENT; PHYSICAL CHEMISTRY; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE PROPERTY RELATION; RANDOM ERROR; RANDOM FOREST; SOLUBILITY; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE; CHEMISTRY; INFORMATION PROCESSING;

EID: 84942191120     PISSN: 18681743     EISSN: 18681751     Source Type: Journal    
DOI: 10.1002/minf.201400122     Document Type: Article
Times cited : (9)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.