TypeName FilesAddedSizeDLs
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels 1 2014-04-28 642.66kB 75 0
Trust Region Newton Method for Logistic Regression 1 2014-04-28 48.85kB 361+ 0
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis 1 2014-04-28 309.92kB 501+ 0
The Analytics Edge [edX] Summer 2015 319 2019-01-27 3.07GB 1,08923 0
SVMTorch: Support Vector Machines for Large-Scale Regression Problems (Kernel Machines Section) 1 2014-04-28 307.97kB 411+ 0
Statistics 21 - Fall 2009 - UC Berkeley 25 2017-03-09 4.27GB 70616 0
Statistics 21 - 001 - Spring 2010 - UC Berkeley 25 2017-03-09 5.58GB 1,85621 1
Statistical Machine Learning CMU Spring 2016 39 2018-03-22 28.19GB 1,62417+ 0
Stanford CS229 - Machine Learning - Andrew Ng 20 2015-04-24 4.21GB 14,22185+ 1
Sparse Spectrum Gaussian Process Regression 1 2014-04-28 178.39kB 421+ 0
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels 1 2014-04-28 231.51kB 1482+ 0
Smooth -Insensitive Regression by Loss Symmetrization 1 2014-04-28 416.45kB 331+ 0
Robust Gaussian Process Regression with a Student-t Likelihood 1 2014-04-28 759.22kB 36 0
Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends 1 2016-03-30 1.39MB 9 0
Regularized Discriminant Analysis, Ridge Regression and Beyond 1 2014-04-28 332.20kB 471+ 0
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach 1 2014-04-28 340.67kB 351+ 0
Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs 1 2014-04-28 517.11kB 39 0
Public Health 241, 001 - Spring 2011 - UC Berkeley 38 2017-03-10 1.87GB 39510 0
OP-ELM: Optimally Pruned Extreme Learning Machine 1 2015-11-29 265.73kB 6 1
On the Mutual Nearest Neighbors Estimate in Regression 1 2014-04-28 142.78kB 321+ 0