Extreme logistic regression: A large scale learning algorithm with application to prostate cancer mortality prediction

Proceedings of the 27th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2014

Volumn , Issue , 2014, Pages 278-283

  Ngufor, Che ^a   Wojtusiak, Janusz ^a   Hooker, Andreab ^a   Oz, Talha ^a   Hadley, Jack ^a  

^a GEORGE MASON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION TREES; DIAGNOSIS; DISCRIMINANT ANALYSIS; DISEASES; FORECASTING; IMAGE RETRIEVAL; LEARNING SYSTEMS; MEDICAL COMPUTING; MEDICAL PROBLEMS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; UROLOGY;

ELECTRONIC MEDICAL RECORD; KERNEL LOGISTIC REGRESSION; LARGE-SCALE ALGORITHMS; LARGE-SCALE LEARNING; LINEAR DISCRIMINANT ANALYSIS; LOGISTIC REGRESSIONS; MACHINE LEARNING METHODS; PROSTATE CANCER MORTALITIES;

LEARNING ALGORITHMS;

EID: 84923875880     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

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