国外人工智能界牛人主页
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摘自:http://blog.sina.com.cn/s/blog_6833a4df0100qjyf.html
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
http://www.cs.toronto.edu/~roweis/lle/publications.html
http://dataclustering.cse.msu.edu/index.html#software(data clustering)
http://www.cs.toronto.edu/~roweis/
http://www.cse.msu.edu/~lawhiu/
http://www.math.umn.edu/~wittman/mani/
http://www.iipl.fudan.edu.cn/~zhangjp/literatures/MLF/INDEX.HTM
http://videolectures.net/mlss05us_belkin_sslmm/
http://isomap.stanford.edu/
http://web.mit.edu/cocosci/josh.html
http://web.engr.oregonstate.edu/~tgd/
http://www.cs.berkeley.edu/~jordan/
http://www.cs.cmu.edu/~awm/
http://learning.cs.toronto.edu/
http://www.cs.cmu.edu/~tom/
Kernel Methods
Alexander J. Smola
Maximum Mean Discrepancy (MMD), Hilbert-Schmidt Independence Criterion (HSIC)
Bernhard Schölkopf
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 Reduction
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
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/
- 国外人工智能界牛人主页
- 国外人工智能界牛人主页
- 国外人工智能界牛人主页
- 国外人工智能界牛人主页
- 国外人工智能界牛人主页
- 国外人工智能界牛人主页
- 国外人工智能界牛人主页
- 国外人工智能界牛人主页
- 国外人工智能界牛人主页
- 国外人工智能界牛人主页
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