Systems That Learn: An Introduction to Learning Theory
作者： Daniel N. Osherson , James S. Royer , Sanjay Jain , Arun Sharma
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关键词: Cognitive science 、 Algorithmic learning theory 、 Reinforcement learning 、 Active learning 、 Adaptation (computer science) 、 Computer science 、 Language identification in the limit 、 Learning theory 、 Artificial intelligence
摘要: Formal learning theory is one of several mathematical approaches to the study intelligent adaptation environment. The analysis developed in this book based on a number theoretical approach and uses tools recursive-function understand how learners come an accurate view reality. This revised expanded edition successful text provides comprehensive, self-contained introduction concepts techniques theory. Exercises throughout provide experience use computational arguments prove facts about learning.
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