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Note: Links lead to the DBLP on the Web. Constantin F. Aliferis Ioannis Tsamardinos , Constantin F. Aliferis, Alexander Statnikov : Algorithms for Large Scale Markov Blanket Discovery. FLAIRS Conference 2003 : 376-381 Constantin F. Aliferis, Ioannis Tsamardinos , P. Massion , Alexander R. Statnikov , N. Fananapazir , D. Hardin : Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data. FLAIRS Conference 2003 : 67-71 Lewis Frey , Douglas Fisher , Ioannis Tsamardinos , Constantin F. Aliferis, Alexander R. Statnikov : Identifying Markov Blankets with Decision Tree Induction. ICDM 2003 : 59-66 Ioannis Tsamardinos , Constantin F. Aliferis, Alexander R. Statnikov : Time and sample efficient discovery of Markov blankets and direct causal relations. KDD 2003 : 673-678 Constantin F. Aliferis, Ioannis Tsamardinos , Alexander R. Statnikov , L. E. Brown : Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. METMBS 2003 : 371-376 Constantin F. Aliferis, Ioannis Tsamardinos , P. Massion , Alexander R. Statnikov , D. Hardin : Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors. METMBS 2003 : 47-53 Gregory F. Cooper , Constantin F. Aliferis, R. Ambrosino , John M. Aronis , Bruce G. Buchanan , Rich Caruana , M. J. Fine , Clark Glymour , G. Gordon , B. H. Hanusa , J. E. Janosky , Christopher Meek , Tom M. Mitchell , Thomas Richardson , Peter Spirtes : An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9 (2): 107-138 (1997) Constantin F. Aliferis, Gregory F. Cooper : A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques. UAI 1996 : 28-39 Constantin F. Aliferis, Gregory F. Cooper : An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets. UAI 1994 : 8-14 1 [ 3 ] 2 [ 3 ] 3 [ 5 ] 4 [ 3 ] 5 [ 3 ] 6 [ 1 ] [ 2 ] [ 3 ] 7 [ 8 ] 8 [ 3 ] 9 [ 7 ] 10 [ 7 ] 11 [ 3 ] 12 [ 3 ] 13 [ 3 ] 14 [ 4 ] [ 8 ] 15 [ 3 ] 16 [ 4 ] [ 8 ] 17 [ 3 ] 18 [ 3 ] 19 [ 3 ] 20 [ 3 ] 21 [ 9 ] 22 [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] 23 [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] ![]() ©2004 Association for Computing Machinery |