Home page of foreign talents in the AI Industry

Foreign artificial intelligence industry ox home page http://people.cs.uchicago.edu /~ Niyogi/

Http://www.cs.uchicago.edu/people/

Http://pages.cs.wisc.edu /~ Jerryzhu/

Http://www.kyb.tuebingen.mpg.de /~ Chapelle

Http://people.cs.uchicago.edu /~ Xiaofei/

Http://www.cs.uiuc.edu/homes/dengcai2/

Http://www.kyb.mpg.de /~ Bs

Http://research.microsoft.com /~ Denzho/

Http://www-users.cs.umn.edu /~ Kumar/dmbook/index. php # item5 (resources for the book of the introduction of data mining by Pang-ning Tan et. al.) (the Chinese version already exists in China)

Http://www.cs.toronto.edu /~ Roweis/lle/publications.html (lle algorithm source code and related papers)

Http://dataclustering.cse.msu.edu/index.html#software)

Http://www.cs.toronto.edu /~ Roweis/(which has many resources)

Http://www.cse.msu.edu /~ Lawhiu/(manifold learning)

Http://www.math.umn.edu /~ Wittman/mani/(manifold learning demo in matlab)

Http://www.iipl.fudan.edu.cn /~ Zhangjp/literatures/MLF/INDEX. HTM (manifold learning in matlab)

Http://videolectures.net/mlss05us_belkin_sslmm/ (semi supervised learning with manifold method by Belkin)

Http://isomap.stanford.edu/(isomap homepage)

Http://web.mit.edu/cocosci/josh.html mit tenenbaum j B Home Page

Http://web.engr.oregonstate.edu /~ Tgd/(internationally renowned AI expert Thomas G. Dietterich)

Http://www.cs.berkeley.edu /~ Jordan/(MIchael I. Jordan)

Http://www.cs.cmu.edu /~ Awm/(Andrew W. Moore's homepage)

Http://learning.cs.toronto.edu/(University of Toronto, Canada Machine Learning Group)

Http://www.cs.cmu.edu /~ Tom/(Tom Mitchell, which has a slide matching the textbook .)

 

Kernel Methods

Alexander J. Smola Maximum Mean Discrepancy (MMD), Hilbert-Schmidt Independence Criterion (HSIC) Bernhard Sch? Lkopf Kernel PCA James T Kwok Pre-Image, Kernel Learning, Core Vector Machine (CVM) Jieping Ye Kernel Learning, Linear Discriminate Analysis, Dimension Deduction

Multi-Task Learning

Andreas Argyriou Multi-Task Feature Learning Charles A. Micchelli Multi-Task Feature Learning, Multi-Task Kernel Learning Massimiliano Pontil Multi-Task Feature Learning Yiming Ying Multi-Task Feature Learning, Multi-Task Kernel Learning

Semi-supervised Learning

Partha Niyogi Manifold Regularization, Laplacian Eigenmaps Mikhail Belkin Manifold Regularization, Laplacian Eigenmaps Vikas Sindhwani Manifold Regularization Xiaojin Zhu Graph-based Semi-supervised Learning

Multiple Instance Learning

Sally A Goldman EM-DD, DD-SVM, Multiple Instance Semi Supervised Learning (MISS)

Dimensionality ction

Neil Lawrence Gaussian Process Latent Variable Models (GPLVM) Lawrence K. Saul Maximum Variance Unfolding (MVU), Semidefinite Embedding (SDE)

Machine Learning

Michael I. Jordan Graphical Models John Lafferty Diffusion Kernels, Graphical Models Daphne Koller Logic, Probability Zhang Tong Theoretical Analysis of Statistical Algorithms, Multi-task Learning, Graph-based Semi-supervised Learning Zoubin Ghahramani Bayesian approaches to machine learning Machine Learning @ Toronto

Statitiscal Machine Learning & Optimization

Jerome H Friedman GLasso, Statistical view of AdaBoost, Greedy Function Approximation Thevor Hastie Lasso Stephen Boyd Convex Optimization C. J Lin Libsvm

Http://www.dice.ucl.ac.be/mlg/

Semi-supervised Manifold Learning (manifold regularization)

Http://manifold.cs.uchicago.edu/

Pattern Recognition and neural network toolbox

Http://www.ncrg.aston.ac.uk/netlab/index.php

Machine Learning Open Source Code

Http://mloss.org/software/tags/large-scale-learning/

Statistics open source code

Http://www.wessa.net/

Matlab toolbox links

Http://www.tech.plym.ac.uk/spmc/links/matlab/matlab_toolbox.html

Statistical Learning classic online textbooks

Http://www.statistics4u.info/

Machine Learning Open Source Code

Http://mloss.org/software/language/matlab/

 

 

From: http://tzczsq.blog.163.com/blog/static/22603058201102602452399/

Http://www.cnblogs.com/skyseraph/