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TypeName FilesAddedSizeDLs
Stanford CS229 - Machine Learning - Andrew Ng 20 2015-04-24 4.21GB 12,861116+ 0
Statistical Machine Learning CMU Spring 2016 39 2018-03-22 28.19GB 1,53220+ 1
Think Bayes - Bayesian Statistics Made Simple 1 2014-02-04 2.37MB 3,57814+ 0
10-715 Advanced Introduction to Machine Learning - CMU - Fall 2015 34 2016-09-10 111.18GB 7377+ 1
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels 1 2014-04-28 329.17kB 461+ 0
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers 1 2014-04-28 225.56kB 31 0
Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification 1 2014-04-28 140.39kB 27 0
Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting 1 2014-04-28 442.45kB 38 0
Integrating Nave Bayes and FOIL 1 2014-04-28 223.18kB 34 0
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary -Mixing Processes 1 2014-04-28 237.71kB 42 0
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes 1 2014-04-28 553.64kB 44 0
Bayes Point Machines (Kernel Machines Section) 1 2014-04-28 977.43kB 42 0
Mixability is Bayes Risk Curvature Relative to Log Loss 1 2014-04-28 429.80kB 44 0
PAC-Bayes Bounds with Data Dependent Priors 1 2014-04-28 325.02kB 44 0
Wrappers for Feature Subset Selection 1 2015-01-28 4.04MB 35 0
Fast Keypoint Recognition Using Random Ferns 1 2016-03-30 4.26MB 2 0

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