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Eric R. Peskin

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Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery

Alexander R. Statnikov,Sisi Ma,Mikael Henaff,Nikita I. Lytkin,Efstratios Efstathiadis,Eric R. Peskin,Constantin F. Aliferis

JOURNAL OF MACHINE LEARNING RESEARCH, (2015): 3219.0-3267.0

Cited by14EIBibtex

A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization

Yindalon Aphinyanaphongs,Lawrence D. Fu,Zhiguo Li,Eric R. Peskin,Efstratios Efstathiadis,Constantin F. Aliferis,Alexander R. Statnikov

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, no. 10 (2014): 1964-1987

Cited by52EIBibtex

A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization: A Comprehensive Empirical Comparison of Modern Supervised Classification and Feature-Selection Methods for Text Categorization

Yindalon Aphinyanaphongs,Efstratios Efstathiadis,Constantin F Aliferis,Zhiguo Li,Lawrence D Fu,Eric R Peskin,Alexander Statnikov

Journal of the Association for Information Science and Technology, (2014)

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