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Twoje tagi:. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.
Toggle navigation. Main Foundations of Machine Learning. Mohri Mehryar, Afshin Rostamizadeh, and Ameet Talwalkar A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. Computers - Cybernetics.
Your tags:. Send-to-Kindle or Email Please login to your account first Need help? Presentation Slides. Mehryar Mohri Foundations of Machine Learning. Figures from this paper. Empirical margin distributions and bounding the generalization error of combined classifiers. We prove new probabilistic upper bounds on generalization error of complex classifiers that are combinations of simple classifiers.
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