Handbook of Machine LearningVolume 1: Foundation of Artificial Intelligence【電子書籍】[ Tshilidzi Marwala ]

＜p＞This is a comprehensive book on the theories of artificial intelligence with an emphasis on their applications. It combines fuzzy logic and neural networks, as well as hidden Markov models and genetic algorithm, describes advancements and applications of these machine learning techniques and describes the problem of causality. This book should serves as a useful reference for practitioners in artificial intelligence.＜/p＞ ＜p＞＜strong＞Contents:＜/strong＞＜/p＞ ＜ul＞ ＜li＞Introduction＜/li＞ ＜li＞Multi-layer Perceptron＜/li＞ ＜li＞Radial Basis Function＜/li＞ ＜li＞Automatic Relevance Determination＜/li＞ ＜li＞Bayesian Networks＜/li＞ ＜li＞Support Vector Machines＜/li＞ ＜li＞Fuzzy Logic＜/li＞ ＜li＞Rough Sets＜/li＞ ＜li＞Hybrid Machines＜/li＞ ＜li＞Auto-associative Networks＜/li＞ ＜li＞Evolving Networks＜/li＞ ＜li＞Causality＜/li＞ ＜li＞Gaussian Mixture Models＜/li＞ ＜li＞Hidden Markov Models＜/li＞ ＜li＞Reinforcement Learning＜/li＞ ＜li＞Conclusion Remarks＜/li＞ ＜/ul＞ ＜p＞＜strong＞Readership:＜/strong＞ Practitioners in artificial intelligence.＜br /＞ ＜strong＞Key Features:＜/strong＞＜/p＞ ＜ul＞ ＜li＞Comprehensive coverage of topics in computational intelligence and machine learning＜/li＞ ＜li＞It is rich in applications＜/li＞ ＜li＞It covers the topic of causality＜/li＞ ＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。

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