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Algorithmic Learning in a Random World

Vladimir Vovk, Alex Gammerman, Glenn Shafer




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 | #3594426 in Books |  2005-03-22 | Original language:English | PDF # 1 |  9.21 x.81 x6.14l,1.53 | File type: PDF | 324 pages

||2 of 2 people found the following review helpful.| One of the more important books in ML in recent years|By Scott C. Locklin|Most people, when they're concerned with doing probabilistic forecasts model using a Bayesian approach, or model class probabilities separately from the classifier (aka fitting logistic models to the output of an SVM aka Platt's method). The authors of this book have a different approach, which is more fu| ||From the reviews: | |"Algorithmic Learning in a Random World has ten chapters, three appendices, and extensive references. Each chapter ends with a section containing comments, historical discussion, and bibliographical remarks. … The material is devel

Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility in high-dimensional spaces under the usual assumption that the data are independent and identi...

You easily download any file type for your device.Algorithmic Learning in a Random World   |  Vladimir Vovk, Alex Gammerman, Glenn Shafer.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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