国外人工智能界牛人主页

原文地址：国外人工智能界牛人主页作者：manifold

国外人工智能界牛人主页

以前转过一个计算机视觉领域内的牛人简介，现在转一个更宽范围内的牛人简介：

 

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           (resourcesfor the book of the introduction of data miningby Pang-ning Tanet.al. )（国内已经有相应的中文版）

http://www.cs.toronto.edu/~roweis/lle/publications.html   (lle算法源代码及其相关论文)

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

http://www.cs.toronto.edu/~roweis/    (里面有好多资源)

http://www.cse.msu.edu/~lawhiu/ (manifold learning)

http://www.math.umn.edu/~wittman/mani/ (manifoldlearning 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 byBelkin)

http://isomap.stanford.edu/   (isomap主页)

http://web.mit.edu/cocosci/josh.html MIT    TENENBAUMJ B主页

http://web.engr.oregonstate.edu/~tgd/   （国际著名的人工智能专家 Thomas G. Dietterich）

http://www.cs.berkeley.edu/~jordan/ （MIchaelI.Jordan）

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

http://learning.cs.toronto.edu/ （加拿大多伦多大学机器学习小组）

http://www.cs.cmu.edu/~tom/ （TomMitchell，里面有与教材匹配的slide。）

Kernel Methods

Alexander J.Smola

Maximum Mean Discrepancy (MMD), Hilbert-Schmidt IndependenceCriterion (HSIC)

BernhardSchölkopf

KernelPCA

James TKwok

Pre-Image, KernelLearning, Core Vector Machine(CVM)

JiepingYe

Kernel Learning,Linear Discriminate Analysis, Dimension Deduction

Multi-TaskLearning

AndreasArgyriou

Multi-Task FeatureLearning

Charles A.Micchelli

Multi-Task FeatureLearning, Multi-Task Kernel Learning

MassimilianoPontil

Multi-Task FeatureLearning

YimingYing

Multi-Task FeatureLearning, Multi-Task Kernel Learning

Semi-supervisedLearning

Partha Niyogi

Manifold Regularization, Laplacian Eigenmaps

Mikhail Belkin

Manifold Regularization, Laplacian Eigenmaps

Vikas Sindhwani

Manifold Regularization

Xiaojin Zhu

Graph-basedSemi-supervised Learning

Multiple InstanceLearning

Sally AGoldman

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

DimensionalityReduction

Neil Lawrence

Gaussian ProcessLatent Variable Models (GPLVM)

Lawrence K. Saul

Maximum Variance Unfolding(MVU), Semidefinite Embedding(SDE)

Machine Learning

Michael I.Jordan

GraphicalModels

JohnLafferty

Diffusion Kernels,Graphical Models

DaphneKoller

Logic,Probability

Zhang Tong

Theoretical Analysisof Statistical Algorithms, Multi-task Learning, Graph-basedSemi-supervised Learning

Zoubin Ghahramani

Bayesian approachesto machine learning

Machine Learning @Toronto

Statitiscal Machine Learning &Optimization

Jerome HFriedman

GLasso, Statisticalview of AdaBoost, Greedy Function Approximation

ThevorHastie

Lasso

StephenBoyd

ConvexOptimization

C.JLin

Libsvm

 http://www.dice.ucl.ac.be/mlg/

半监督流形学习（流形正则化）

http://manifold.cs.uchicago.edu/

模式识别和神经网络工具箱

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

机器学习开源代码

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

统计学开源代码

http://www.wessa.net/

matlab各种工具箱链接

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

统计学学习经典在线教材

http://www.statistics4u.info/

机器学习开源源代码

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