Application of Breiman's Random Forest to modeling structure-activity relationships of pharmaceutical molecules

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3077, Issue , 2004, Pages 334-343

  Svetnik, Vladimir ^a   Liaw, Andy ^a   Tong, Christopher ^a   Wang, Ting ^a  

^a MERCK RESEARCH LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOACTIVITY; COMPUTATIONAL CHEMISTRY; LEAST SQUARES APPROXIMATIONS; MOLECULES;

ENSEMBLE LEARNING; MODELING STRUCTURES; PARTIAL LEAST SQUARE (PLS); PREDICTION ACCURACY; QUANTITATIVE DESCRIPTION; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP MODELING; VARIABLE IMPORTANCES; VARIABLE REDUCTIONS;

DECISION TREES;

EID: 35048900518     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-25966-4_33     Document Type: Article

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