Data-efficient information-theoretic test selection

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

Volumn 5651 LNAI, Issue , 2009, Pages 410-415

  Mueller, Marianne ^a   Rosales, Rómer ^b   Steck, Harald ^b   Krishnan, Sriram ^b   Rao, Bharat ^b   Kramer, Stefan ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b CAD and Knowledge Solutions   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREAST CANCER DIAGNOSIS; COMPUTING POWER; CONDITIONAL INDEPENDENCE ASSUMPTION; CONDITIONAL MUTUAL INFORMATION; HEART DISEASE; INFORMATION MAXIMIZATION; JOINT DISTRIBUTIONS; MEDICAL DIAGNOSIS; SELECTION OF VARIABLES; TEST SELECTION;

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; INFORMATION THEORY; MEDICAL PROBLEMS;

DIAGNOSIS;

EID: 70350222203     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02976-9_58     Document Type: Conference Paper

References (2)

1. Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley Interscience, Hoboken (1991)
2. Mueller, M., Rosales, R., Steck, H., Krishnan, S., Rao, B., Kramer, S.: Data-Efficient Information-Theoretic Test Selection, Technical Report TUM-I0910, Institut für Informatik, TU München (2009)