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Suitable for the newcomers and younger researchers in the area of machine learning, data analysis and data mining,... Read More >>
Professor Ryszard S Michalski was one of the fathers of machine learning, an exciting and relevant, both from the... Read More >>
A new edition of an introductory text in machine learning that gives a unified treatment of machine learning problems... Read More >>
A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification... Read More >>
A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California,... Read More >>
Technology-Assisted Problem Solving for Engineering Education: Interactive Multimedia Applications explores best... Read More >>
A general framework for constructing and using probabilistic models of complex systems that would enable a computer... Read More >>
The idea for this book came from the time the authors spent at the Statistics and Applied Mathematical Sciences... Read More >>
In cyber-based systems, tasks can be formulated as learning problems and approached as machine-learning algorithms.... Read More >>
Describes several generic algorithmic concepts that can be used in various kinds of GA or with evolutionary optimization... Read More >>
Covers neural networks, graphical models, reinforcement learning, evolutionary algorithms, dimensionality reduction... Read More >>
This major new edition features many topics not covered in the original, including graphical models, random forests,... Read More >>