| Vladimir Naumovich Vapnik - Computers - 1998 - 736 pages
A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the ... | |
| Bernhard Schölkopf, Christopher J. C. Burges - Computers - 1999 - 376 pages
A young girl hears the story of her great-great-great-great- grandfather and his brother who came to the United States to make a better life for themselves helping to build the ... | |
| Vladimir Cherkassky, Filip M. Mulier - Computers - 2007 - 624 pages
An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and ... | |
| Alexander J. Smola - Computers - 2000 - 412 pages
The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths ... | |
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