Automated selection of interaction effects in sparse kernel methods to predict pregnancy viability

Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Volumn , Issue , 2013, Pages 26-31

  Van Belle, Vanya ^a,b   Lisboa, Paulo ^b  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED SELECTION; FIRST TRIMESTERS; INTERACTION EFFECT; LARGE DATASET; MATHEMATICAL FIELDS; PREDICTION MODEL; SPARSE KERNELS; TWO-WAY INTERACTION;

DATA MINING; MATHEMATICAL MODELS; OBSTETRICS; RADIAL BASIS FUNCTION NETWORKS;

ARTIFICIAL INTELLIGENCE;

EID: 84885639588     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2013.6597213     Document Type: Conference Paper

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