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Support vector machines (SVMs) are one of the most active research areas in machine learning. For SVMs to gain a... Read More >>
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This book illustrates how to deal with complex media and convert raw data into useful information. Students and... Read More >>
It is extremely important because it enables modeling and knowledge extraction from abundant data availability.Soft... Read More >>
Der zeitgemäße algorithmische Zugang zur Geometrie für den Bachelor/Master Read More >>
The 'soft' analytic tools that comprise the field of computational intelligence have matured to the extent that... Read More >>
This volume introduces machine learning techniques that are particularly effective for modeling multimedia data... Read More >>
“If you torture the data long enough, Nature will confess,” said 1991 Nobel-winning economist Ronald Coase. Fortunately,... Read More >>
The two premier annual European conferences in the areas of machine learning and data mining have been collocated... Read More >>
State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.... Read More >>
Anticipatory behavior in adaptive learning systems is steadily gaining the - terest of scientists, although many... Read More >>
This is a new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic... Read More >>
An introduction to the main issues associated with the basics of machine learning and the algorithms used in data... Read More >>
Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan’s... Read More >>