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Algorithmic Learning in a Random World
Vladimir Vovk, Alex Gammerman, Glenn Shafer
[PDF.op65] Algorithmic Learning in a Random World
Algorithmic Learning in a Vladimir Vovk, Alex Gammerman, Glenn Shafer epub Algorithmic Learning in a Vladimir Vovk, Alex Gammerman, Glenn Shafer pdf download Algorithmic Learning in a Vladimir Vovk, Alex Gammerman, Glenn Shafer pdf file Algorithmic Learning in a Vladimir Vovk, Alex Gammerman, Glenn Shafer audiobook Algorithmic Learning in a Vladimir Vovk, Alex Gammerman, Glenn Shafer book review Algorithmic Learning in a Vladimir Vovk, Alex Gammerman, Glenn Shafer summary
| #1978943 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. A good, fresh read, highly recommended.
