Algorithmic Learning Theory 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Chaudhuri, Kamalika (Editor), GENTILE, CLAUDIO (Editor), Zilles, Sandra (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Edition: 1st ed. 2015.
• Series: Lecture Notes in Computer Science, 9355
• Subjects: Computer science.; Computers.; Data mining.; Artificial intelligence.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Theory of Computation.; Data Mining and Knowledge Discovery.; Pattern Recognition.

This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015. The 23 full papers presented in this volume were caref...

Table of Contents:

• Inductive inference
• Learning from queries, teaching complexity
• Computational learning theory and algorithms
• Statistical learning theory and sample complexity
• Online learning
• Stochastic optimization
• Kolmogorov complexity, algorithmic information theory.