On the Learnability of Disjunctive Normal Form FormulasAizenstein, Howard; Pitt, Leonard · Machine Learning · 1995

On Learning Read-k-Satisfy-j DNFAizenstein, Howard; Blum, Avrim; Khardon, Roni; Kushilevitz, Eyal; Pitt, Leonard; Roth, Dan · SIAM Journal on Computing · 1998

[ACM Press the fifth annual workshop - Pittsburgh, Pennsylvania, United States (1992.07.27-1992.07.29)] Proceedings of the fifth annual workshop on Computational learning theory - COLT '92 - Exact learning of read- <i>k</i> disjoint DNF and not-so-disjoint DNFAizenstein, Howard; Pitt, Leonard · 1992

Learning Deep Architectures for AIBengio, Y. · Foundations and Trends® in Machine Learning · 2009

Human ComputationLaw, Edith; Ahn, Luis von · Synthesis Lectures on Artificial Intelligence and Machine Learning · 2011

Action Programming LanguagesThielscher, Michael · Synthesis Lectures on Artificial Intelligence and Machine Learning · 2008

Efficient incremental induction of decision treesKalles, Dimitrios; Morris, Tim · Machine Learning · 1996

EditorialDietterich, Thomas G. · Machine Learning · 1996

Research papers in machine learningLangley, Pat · Machine Learning · 1987

Classifier systems and the animat problemWilson, Stewart W. · Machine Learning · 1987

Learning decision listsRivest, Ronald L. · Machine Learning · 1987