Aliferis, Constantin F.

11 publications

JMLR 2015 Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery Alexander Statnikov, Sisi Ma, Mikael Henaff, Nikita Lytkin, Efstratios Efstathiadis, Eric R. Peskin, Constantin F. Aliferis

JMLR 2013 Algorithms for Discovery of Multiple Markov Boundaries Alexander Statnikov, Nikita I. Lytkin, Jan Lemeire, Constantin F. Aliferis

JMLR 2010 Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos

JMLR 2010 Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos

MLJ 2006 The Max-Min Hill-Climbing Bayesian Network Structure Learning Algorithm Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis

AAAI 2005 A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis

AAAI 2005 Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis

ICML 2004 A Theoretical Characterization of Linear SVM-Based Feature Selection Douglas P. Hardin, Ioannis Tsamardinos, Constantin F. Aliferis

AISTATS 2003 Towards Principled Feature Selection: Relevancy, Filters and Wrappers Ioannis Tsamardinos, Constantin F. Aliferis

UAI 1996 A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques Constantin F. Aliferis, Gregory F. Cooper

UAI 1994 An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets Constantin F. Aliferis, Gregory F. Cooper