Introduction To Machine Learning, 3Rd Edn | Deep Learning (Adaptive Computation and Machine Learning series) | The Elements of Statistical Learning | Pattern Recognition And Machine Learning | Adaptation in Natural and Artificial Systems | Deep Belief Nets in C++ and Cuda C | Artificial Intelligence
Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems. The objectives of research in this area are to study trade-offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process. Multistrategy systems offer significant advantages over monostrategy systems. They are more flexible in the type of input they can learn from and the type of knowledge they can acquire. As a consequence, multistrategy systems have the potential to be applicable to a wide range of practical problems. This volume is the first book in this fast growing field. It contains a selection of contributions by leading researchers specializing in this area.
About: Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective.
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