Algorithmic Learning Theory

By Nader H. Bshouty

Subjects: Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Congresses, Optical pattern recognition, Logics and Meanings of Programs, Machine learning, Logic design, Computer algorithms, Artificial intelligence, Computer science, Artificial Intelligence (incl. Robotics), Computer software, Pattern perception, Mathematical Logic and Formal Languages

Description: This book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science, DS 2012. The 23 full papers and 5 invited talks presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on inductive inference, teaching and PAC learning, statistical learning theory and classification, relations between models and data, bandit problems, online prediction of individual sequences, and other models of online learning.