Algorithmic Learning Theory 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ortner, Ronald (Editor), Simon, Hans Ulrich (Editor), Zilles, Sandra (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Lecture Notes in Computer Science, 9925
• 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 refereed proceedings of the 27th International Conference on Algorithmic Learning Theory, ALT 2016, held in Bari, Italy, in October 2016, co-located with the 19th International Conference on Discovery Science, DS 2016. The 24 regular papers presented in this volume were car...

Table of Contents:

• Error bounds, sample compression schemes
• Statistical learning, theory, evolvability
• Exact and interactive learning
• Complexity of teaching models
• Inductive inference
• Online learning
• Bandits and reinforcement learning
• Clustering.