What subject matter questions motivate the use of machine learning approaches compared to statistical models for probability prediction?

Biometrical Journal

Volumn 56, Issue 4, 2014, Pages 584-587

  Binder, Harald ^a  

^a JOHANNES GUTENBERG UNIVERSITY   (Germany)

Author keywords

Added value; External knowledge; Logistic regression; Risk prediction; Uncertainty

Indexed keywords

ARTIFICIAL INTELLIGENCE; RISK PERCEPTION;

ADDED VALUES; CHRISTIANS; EXTERNAL KNOWLEDGE; LOGISTICS REGRESSIONS; MACHINE LEARNING METHODS; MULTICATEGORY; PROBABILITY ESTIMATION; RISK PREDICTIONS; SUBJECT MATTERS; UNCERTAINTY;

LEARNING SYSTEMS;

ARTIFICIAL INTELLIGENCE; BIOMETRY; HUMAN; MOTIVATION; PROBABILITY; STATISTICAL MODEL;

ARTIFICIAL INTELLIGENCE; BIOMETRY; HUMANS; MODELS, STATISTICAL; MOTIVATION; PROBABILITY;

EID: 84903626053     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.201300218     Document Type: Note

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