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/.../Deep Learning in Natural Language Processing by Ronan Collobert, Jason Weston, 2010 (rec 2009)/

1.flv

165.6 MB

2.flv

139.6 MB

slide_descr.txt

4.9 KB

slides.pdf

7.1 MB

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/.../Deep Learning with Multiplicative Interactions by Geoffrey E. Hinton, 2010 (rec 2009)/

1.flv

154.0 MB

slide_descr.txt

3.5 KB

slides1.ppt

7.2 MB

url.txt

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/.../Learning and Inference in Low-Level Vision by Yair Weiss, 2010 (rec 2009)/

1.flv

333.5 MB

slide_descr.txt

3.1 KB

slides.pdf

10.1 MB

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/.../Making Very Large-Scale Linear Algebraic Computations Possible Via Randomization by Gunnar Martinsson, 2010 (rec 2009)/

1.flv

178.9 MB

2.flv

161.5 MB

slide_descr.txt

2.4 KB

slides.pdf

1.3 MB

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/.../Model-Based Reinforcement Learning by Michael Littman, 2010 (rec 2009)/

1.flv

177.7 MB

2.flv

152.3 MB

slide_descr.txt

1.9 KB

slides.pdf

2.4 MB

url.txt

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/.../Relative Entropy by Sergio Verdu, 2010 (rec 2009)/

1.flv

187.7 MB

slide_descr.txt

1.4 KB

slides.pdf

4.9 MB

url.txt

0.0 KB

/.../Sequential Monte-Carlo Methods by Arnaud Doucet, Nando de Freitas, 2010 (rec 2009)/

1.flv

360.4 MB

2.flv

327.1 MB

slide_descr.txt

6.4 KB

slides.pdf

2.1 MB

url.txt

0.1 KB

/.../Sparse Methods for Machine Learning: Theory and Algorithms by Francis R. Bach, 2010 (rec 2009)/

1.flv

502.8 MB

2.flv

416.6 MB

slide_descr.txt

8.3 KB

slides.pdf

6.5 MB

url.txt

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/.../The Rat Vibrissal Array as a Model Sensorimotor System by Mitra Hartmann, 2010 (rec 2009)/

1.flv

362.0 MB

slide_descr.txt

5.0 KB

slides1.ppt

18.5 MB

url.txt

0.0 KB

/.../Optimization Algorithms in Machine Learning by Stephen J. Wright, 2011 (rec 2010)/

1.flv

237.3 MB

2.flv

243.7 MB

slide_descr.txt

4.0 KB

slides.pdf

404.8 KB

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0.0 KB

/.../Reinforcement Learning in Humans and Other Animals by Nathaniel Daw, 2011 (rec 2010)/

1.flv

225.9 MB

2.flv

208.8 MB

slide_descr.txt

3.2 KB

slides.pdf

3.4 MB

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/.../Best Paper - Information-Theoretic Metric Learning by Brian Kulis, 2007/

1.flv

90.0 MB

slide_descr.txt

0.6 KB

slides.pdf

274.8 KB

url.txt

0.0 KB

/.../A Factor Model for Learning Higher Order Features in Natural Images by Yan Karklin, 2009/

1.flv

98.8 MB

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0.3 KB

slide_descr.txt

2.6 KB

slides.pdf

2.2 MB

slides1b.pptx

2.7 MB

slides2.pptx

2.7 MB

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0.0 KB

/.../Matrix Computations in Machine Learning by Inderjit S. Dhillon, 2009/

1.flv

192.4 MB

descr.txt

0.5 KB

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0.0 KB

slides.pdf

503.4 KB

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0.0 KB

/.../Tutorial on Learning Deep Architectures by Yoshua Bengio, Yann LeCun, 2009/

1.flv

100.7 MB

2.flv

79.9 MB

descr.txt

1.5 KB

slide_descr.txt

3.0 KB

slides1.pdf

2.7 MB

slides2.pdf

11.5 MB

url.txt

0.1 KB

/.../Unsupervised Discovery of Structure, Succinct Representations and Sparsity by Andrew Y. Ng, 2009/

1.flv

92.4 MB

descr.txt

1.2 KB

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/.../Semisupervised Learning Approaches by Tom Mitchell, 2007 (rec 2006)/

1.flv

189.6 MB

slide_descr.txt

1.1 KB

slides1.ppt

3.0 MB

url.txt

0.0 KB

/.../Introduction to Statistics by Glen Cowan, 2010 (rec 2009)/

1.flv

256.1 MB

2.flv

257.7 MB

3.flv

174.3 MB

4.flv

238.4 MB

slides1a.pdf

1.3 MB

slides1b.ppt

1.9 MB

slides2a.pdf

1.8 MB

slides2b.ppt

2.1 MB

slides3a.pdf

1.4 MB

slides3b.ppt

1.6 MB

slides4a.pdf

1.5 MB

slides4b.ppt

1.9 MB

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/.../Introduction to Statistics by Glen Cowan, 2011 (rec 2010)/

1.flv

243.8 MB

2.flv

240.9 MB

3.flv

255.0 MB

4.flv

242.8 MB

url.txt

0.1 KB

/.../Introduction to Support Vector Machines by Colin Campbell, 2008/

1.flv

147.7 MB

2.flv

103.0 MB

descr.txt

0.1 KB

slide_descr.txt

4.9 KB

slides1.pdf

157.0 KB

slides_small2.pdf

438.2 KB

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/.../Gaussian Process Basics by David MacKay, 2007 (rec 2006)/

1.flv

193.9 MB

slide_descr.txt

1.1 KB

slides.pdf

3.8 MB

url.txt

0.0 KB

/.../Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind by Marvin Minsky, 2011 (rec 2007)/

1.flv

277.4 MB

descr.txt

0.2 KB

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/.../Advanced Statistical Learning Theory by Olivier Bousquet, 2007 (rec 2004)/

1.flv

288.3 MB

2.flv

201.3 MB

3.flv

356.6 MB

slide_descr.txt

1.9 KB

slides1.pdf

393.6 KB

slides_small2.pdf

387.3 KB

slides_small3.pdf

345.3 KB

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/.../Markov Chain Monte Carlo Methods by Christian Robert, 2007 (rec 2004)/

1.flv

135.4 MB

2.flv

133.1 MB

3.flv

134.0 MB

4.flv

141.8 MB

5.flv

117.3 MB

descr.txt

0.3 KB

slide_descr.txt

7.9 KB

slides1.pdf

6.2 MB

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2.4 MB

slides_small3.pdf

2.6 MB

slides_small4.pdf

2.6 MB

slides_small5.pdf

2.3 MB

url.txt

0.0 KB

/.../Statistical Learning Theory by John Shawe-Taylor, 2007 (rec 2004)/

1.flv

139.7 MB

2.flv

112.4 MB

3.flv

135.5 MB

4.flv

113.3 MB

5.flv

136.1 MB

6.flv

91.9 MB

7.flv

169.6 MB

8.flv

133.8 MB

answers.pdf

71.0 KB

problems.pdf

42.3 KB

slide_descr.txt

6.4 KB

slides1a.pdf

304.9 KB

slides1b.pdf

300.7 KB

slides_small2.pdf

536.8 KB

slides_small3.pdf

618.9 KB

slides_small4.pdf

249.9 KB

slides_small5.pdf

369.6 KB

slides_small6.pdf

531.0 KB

slides_small7.pdf

494.2 KB

slides_small8.pdf

606.3 KB

url.txt

0.0 KB

/.../Convex Optimization by Lieven Vandenberghe, 2011/

1.flv

406.6 MB

2.flv

440.9 MB

3.flv

449.8 MB

descr.txt

1.1 KB

slide_descr.txt

11.7 KB

slides.pdf

672.9 KB

slides1.pdf

388.9 KB

slides2.pdf

203.1 KB

slides3.pdf

236.5 KB

url.txt

0.1 KB

/.../Graphical Models and message-passing algorithms by Martin J. Wainwright, 2011/

1.flv

427.2 MB

2.flv

413.6 MB

3.flv

432.7 MB

slide_descr.txt

2.6 KB

slides.pdf

409.3 KB

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0.1 KB

/.../Kernel Methods by Bernhard Schölkopf, 2011/

1.flv

369.0 MB

2.flv

266.7 MB

3.flv

390.8 MB

descr.txt

0.3 KB

slide_descr.txt

5.5 KB

slides.pdf

2.3 MB

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0.1 KB

/.../Learning Theory: statistical and game-theoretic approaches by Nicolò Cesa-Bianchi, 2011/

1.flv

414.4 MB

2.flv

379.3 MB

3.flv

284.1 MB

descr.txt

0.6 KB

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0.0 KB

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/.../Monte Carlo Methods by Arnaud Doucet, 2011/

1.flv

424.2 MB

2.flv

461.4 MB

3.flv

450.2 MB

descr.txt

0.4 KB

slide_descr.txt

7.2 KB

slides.pdf

2.3 MB

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0.1 KB

/.../Approximate Inference by Tom Minka, 2009/

1.flv

272.6 MB

2.flv

265.1 MB

slide_descr.txt

3.0 KB

slides1.pdf

1.4 MB

slides2.pdf

920.3 KB

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0.0 KB

/.../Bayesian or Frequentist, Which Are You? by Michael I. Jordan, 2009/

1.flv

254.6 MB

2.flv

254.9 MB

slide_descr.txt

5.0 KB

slides.pdf

1.0 MB

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0.0 KB

/.../Computer Vision by Andrew Blake, 2009/

1.flv

242.9 MB

2.flv

259.7 MB

slide_descr.txt

2.2 KB

slides.pdf

2.2 MB

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/.../Deep Belief Networks by Geoffrey E. Hinton, 2009/

1.flv

255.1 MB

2.flv

263.3 MB

slide_descr.txt

6.6 KB

slides.pdf

1.8 MB

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/.../Gaussian Processes by Carl Edward Rasmussen, 2009/

1.flv

248.6 MB

2.flv

267.0 MB

slide_descr.txt

3.4 KB

slides.pdf

2.0 MB

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0.0 KB

/.../Information Theory by David MacKay, 2009/

1.flv

249.7 MB

2.flv

275.3 MB

slide_descr.txt

1.8 KB

slides.pdf

3.3 MB

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/.../Introduction To Bayesian Inference by Christopher Bishop, 2009/

1.flv

222.8 MB

2.flv

273.8 MB

slide_descr.txt

3.1 KB

slides1.pdf

3.0 MB

slides2.pdf

3.0 MB

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/.../Learning Theory by John Shawe-Taylor, 2009/

1.flv

234.1 MB

2.flv

244.1 MB

slide_descr.txt

4.9 KB

slides.pdf

306.4 KB

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/.../Markov Chain Monte Carlo by Iain Murray, 2009/

1.flv

226.6 MB

2.flv

199.7 MB

slide_descr.txt

2.0 KB

slides.pdf

1.8 MB

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0.0 KB

/.../Reinforcement Learning by Michael Littman, 2009/

1.flv

269.9 MB

2.flv

243.8 MB

slide_descr.txt

2.1 KB

slides.pdf

2.1 MB

url.txt

0.0 KB

/.../Gradient Methods for Machine Learning by Nicol Schraudolph, 2007 (rec 2005)/

1.flv

189.6 MB

2.flv

186.3 MB

3.flv

174.7 MB

4.flv

173.5 MB

slide_descr.txt

2.2 KB

slides_small1.pdf

863.3 KB

slides_small2.pdf

849.1 KB

slides_small3.pdf

982.2 KB

slides_small4.pdf

540.4 KB

url.txt

0.1 KB

/.../Rapid Stochastic Gradient Descent: Accelerating Machine Learning by Nicol Schraudolph, 2007 (rec 2006)/

1.flv

188.9 MB

2.flv

167.3 MB

slide_descr.txt

0.9 KB

slides.pdf

11.0 MB

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/.../Online Learning by Peter L. Bartlett, 2011 (rec 2010)/

1.flv

269.1 MB

2.flv

284.8 MB

3.flv

262.4 MB

slide_descr.txt

5.3 KB

slides.pdf

1.4 MB

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0.1 KB

/.../Boosting by Robert Schapire, 2007 (rec 2005)/

1.flv

181.5 MB

2.flv

181.2 MB

descr.txt

0.7 KB

slide_descr.txt

2.4 KB

slides1.ps

729.7 KB

slides2.ps

729.7 KB

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0.0 KB

/.../Energy-based models & Learning for Invariant Image Recognition by Yann LeCun, 2007 (rec 2005)/

1.flv

421.4 MB

2.flv

343.9 MB

3.flv

155.1 MB

slides1a.pdf

13.2 MB

slides1b.pdf

2.1 MB

slides1c.pdf

8.2 MB

slides2b.pdf

2.1 MB

slides2c.pdf

8.2 MB

slides3b.pdf

2.1 MB

slides3c.pdf

8.2 MB

url.txt

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/.../Trees for Regression and Classification by Robert Nowak, 2007 (rec 2005)/

1.flv

456.6 MB

2.flv

109.9 MB

descr.txt

0.3 KB

slide_descr.txt

3.0 KB

slides1.ppt

9.7 MB

slides2.ppt

9.7 MB

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/.../Bounding Excess Risk in Machine Learning by Vladimir Koltchinskii, 2009/

1.flv

238.0 MB

2.flv

218.7 MB

3.flv

123.0 MB

descr.txt

0.9 KB

slide_descr.txt

3.0 KB

slides.pdf

195.9 KB

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/.../Fitting a Graph to Vector Data by Daniel A. Spielman, 2009/

1.flv

172.8 MB

descr.txt

0.3 KB

slide_descr.txt

2.0 KB

slides1.pptx

837.6 KB

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/.../How to Visualize the Unseeable by Xiaochuan Pan, 2009/

1.flv

152.0 MB

url.txt

0.0 KB

/.../Kernel Methods and Support Vector Machines by John Shawe-Taylor, 2009/

1.flv

156.8 MB

2.flv

174.4 MB

3.flv

141.1 MB

descr.txt

0.5 KB

slide_descr.txt

5.5 KB

slides.pdf

399.1 KB

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/.../Learning Dictionaries for Image Analysis and Sensing by Guillermo Sapiro, 2009/

1.flv

144.5 MB

descr.txt

1.5 KB

slide_descr.txt

2.6 KB

slides1.ppt

14.6 MB

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/.../Learning Feature Hierarchies by Yann LeCun, 2009/

1.flv

169.1 MB

slide_descr.txt

5.0 KB

slides.pdf

21.8 MB

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/.../Matrix Completion via Convex Optimization: Theory and Algorithms by Emmanuel Candes, 2009/

1.flv

186.4 MB

descr.txt

1.4 KB

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/.../Optimization Algorithms in Support Vector Machines by Stephen J. Wright, 2009/

1.flv

157.0 MB

descr.txt

0.9 KB

slide_descr.txt

1.8 KB

slides.pdf

270.4 KB

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/.../Seeking Interpretable Models for High Dimensional Data by Bin Yu, 2009/

1.flv

165.2 MB

descr.txt

0.9 KB

slide_descr.txt

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slides1.ppt

10.0 MB

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/.../Semi-Supervised Learning by Jerry (Xiaojin) Zhu, 2009/

1.flv

145.6 MB

2.flv

149.2 MB

3.flv

184.1 MB

descr.txt

0.4 KB

slide_descr.txt

8.9 KB

slides.pdf

4.6 MB

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/.../Sparse Representations from Inverse Problems to Pattern Recognition by Stéphane Mallat, 2009/

1.flv

134.1 MB

descr.txt

0.6 KB

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/.../Theory and Applications of Boosting by Robert Schapire, 2009/

1.flv

139.1 MB

2.flv

175.2 MB

3.flv

141.4 MB

descr.txt

0.7 KB

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8.2 KB

slides.pdf

524.5 KB

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/.../Unsupervised Learning for Stereo Vision by David McAllester, 2009/

1.flv

145.7 MB

descr.txt

0.7 KB

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slides.pdf

1.0 MB

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/.../Foundations of Machine Learning by Marcus Hutter, 2008/

1.flv

184.3 MB

2.flv

136.9 MB

3.flv

189.9 MB

descr.txt

0.1 KB

slide_descr.txt

3.5 KB

slides.pdf

478.6 KB

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/.../Introduction to Reinforcement Learning by Csaba Szepesvari, 2008/

1.flv

119.1 MB

2.flv

170.2 MB

3.flv

155.6 MB

4.flv

182.6 MB

5.flv

168.7 MB

6.flv

173.9 MB

descr.txt

0.7 KB

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slides.pdf

3.0 MB

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/.../Introduction to Statistical Machine Learning by Marcus Hutter, 2008/

1.flv

148.1 MB

2.flv

159.2 MB

3.flv

117.7 MB

descr.txt

0.2 KB

slide_descr.txt

2.7 KB

slides.pdf

1.7 MB

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/.../Kernel methods and Support Vector Machines by Alexander J. Smola, 2008/

1.flv

157.7 MB

2.flv

124.9 MB

3.flv

151.4 MB

4.flv

136.7 MB

5.flv

153.8 MB

6.flv

189.3 MB

descr.txt

0.3 KB

slide_descr.txt

9.5 KB

slides.pdf

14.9 MB

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/.../Learning in Computer Vision by Simon Lucey, 2008/

1.flv

183.2 MB

2.flv

156.8 MB

3.flv

166.1 MB

4.flv

167.2 MB

5.flv

92.7 MB

6.flv

71.8 MB

7.flv

133.2 MB

descr.txt

0.9 KB

slide_descr.txt

7.7 KB

slides.pdf

36.7 MB

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/.../Monte Carlo Simulation for Statistical Inference, Model Selection and Decision Making by Nando de Freitas, 2008/

1.flv

151.2 MB

2.flv

167.1 MB

3.flv

145.9 MB

4.flv

181.9 MB

5.flv

122.8 MB

6.flv

171.8 MB

descr.txt

1.6 KB

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8.5 KB

slides.pdf

15.1 MB

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/.../Introduction to Boosting by Gunnar Rätsch, 2007 (rec 2006)/

1.flv

232.9 MB

2.flv

236.4 MB

3.flv

272.3 MB

descr.txt

0.6 KB

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1.4 KB

slides.pdf

1.9 MB

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/.../Machine Learning, Probability and Graphical Models by Sam Roweis, 2007 (rec 2006)/

1.flv

199.6 MB

2.flv

245.1 MB

3.flv

255.7 MB

4.flv

258.0 MB

slide_descr.txt

5.0 KB

slides1.pdf

158.9 KB

slides2.pdf

220.6 KB

slides3.pdf

243.6 KB

slides4.pdf

288.8 KB

url.txt

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/.../Support Vector Machines by Chih-Jen Lin, 2007 (rec 2006)/

1.flv

245.7 MB

2.flv

357.4 MB

3.flv

240.2 MB

descr.txt

0.4 KB

slide_descr.txt

3.1 KB

slides.pdf

1.1 MB

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/.../Empirical Inference by Vladimir Vapnik, 2007 (rec 2003)/

1.flv

184.8 MB

2.flv

28.3 MB

url.txt

0.0 KB

/.../Some Mathematical Tools for Machine Learning by Chris Burges, 2007 (rec 2003)/

1.flv

102.3 MB

2.flv

127.3 MB

3.flv

136.0 MB

4.flv

135.2 MB

slide_descr.txt

4.4 KB

slides_small1.pdf

321.5 KB

slides_small2.pdf

405.3 KB

slides_small3.pdf

282.7 KB

slides_small4.pdf

457.3 KB

url.txt

0.0 KB

/.../Introduction to kernel methods by Alexander Smola, Bernhard Scholkopf, 2007/

1.flv

226.7 MB

2.flv

94.1 MB

3.flv

333.4 MB

4.flv

61.4 MB

5.flv

174.2 MB

6.flv

216.9 MB

slide_descr.txt

4.5 KB

slides - 1, 5, 6a.pdf

2.0 MB

slides - 1, 5, 6b.pdf

2.7 MB

slides - 2, 3, 4.pdf

236.0 KB

url.txt

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/.../Group Theory and Machine Learning by Risi Kondor, 2008 (rec 2007)/

1.flv

336.6 MB

slide_descr.txt

3.5 KB

slides.pdf

2.5 MB

url.txt

0.0 KB

/.../Foundations of Statistical Learning Theory - Empirical Inference in high-dimention spaces by Léon Bottou, Vladimir Vapnik, 2007/

1.flv

273.3 MB

slide_descr.txt

2.9 KB

slides.pdf

497.4 KB

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/.../Learning using Many Examples by Léon Bottou, 2007/

1.flv

277.5 MB

slide_descr.txt

3.6 KB

slides.pdf

398.4 KB

url.txt

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/.../A Tutorial Introduction to Stochastic Differential Equations: Continuous-time Gaussian Markov Processes by Chris Williams, 2007 (rec 2006)/

1.flv

131.9 MB

slide_descr.txt

1.1 KB

slides.pdf

175.3 KB

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0.0 KB

/.../Interview with Yann LeCun by Yann LeCun, 2008 (rec 2007)/

1.flv

48.7 MB

url.txt

0.0 KB

/.../New Quasi-Newton Methods for Efficient Large-Scale Machine Learning by S.V.N. Vishwanathan, 2007/

1.flv

120.2 MB

slide_descr.txt

3.2 KB

slides.pdf

2.1 MB

url.txt

0.0 KB

/.../Speeding Up Stochastic Gradient Descent by Yoshua Bengio, 2007/

1.flv

114.1 MB

slide_descr.txt

1.3 KB

slides.pdf

1.6 MB

url.txt

0.0 KB

/.../Who is Afraid of Non-Convex Loss Functions? by Yann LeCun, 2007/

1.flv

175.0 MB

slide_descr.txt

1.5 KB

slides.pdf

8.6 MB

url.txt

0.0 KB

/.../Learning Similarity Metrics with Invariance Properties by Yann LeCun, 2007 (rec 2006)/

1.flv

168.7 MB

slide_descr.txt

2.7 KB

slides.pdf

13.7 MB

url.txt

0.0 KB

/.../Neighbourhood Components Analysis and Metric Learning by Sam Roweis, 2007 (rec 2006)/

1.flv

147.9 MB

slide_descr.txt

1.1 KB

slides.pdf

533.0 KB

url.txt

0.0 KB

/.../Large-scale Machine Learning and Stochastic Algorithms by Léon Bottou, 2008/

1.flv

159.8 MB

url.txt

0.0 KB

/.../Efficient Estimation of N-point Spatial Statistics by Alexander G. Gray, 2012 (rec 2011)/

1.flv

22.5 MB

slide_descr.txt

0.2 KB

slides.pdf

1.2 MB

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0.1 KB

/.../Efficiency of Quasi-Newton Methods on Strictly Positive Functions by Yurii Nesterov, 2011 (rec 2010)/

1.flv

212.6 MB

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5.1 KB

slides.pdf

1.2 MB

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0.1 KB

/.../Fast first-order methods for convex optimization with line search by Katya Scheinberg, 2012 (rec 2011)/

1.flv

102.0 MB

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1.3 KB

slides.pdf

2.4 MB

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0.1 KB

/.../Limited-memory quasi-Newton and Hessianfree Newton methods for non-smooth optimization by Mark Schmidt, 2011 (rec 2010)/

1.flv

223.2 MB

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9.3 KB

slides.pdf

1.2 MB

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0.1 KB

/.../Lock-Free Approaches to Parallelizing Stochastic Gradient Descent by Benjamin Recht, 2012 (rec 2011)/

1.flv

255.5 MB

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1.2 KB

slides.pdf

2.4 MB

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0.1 KB

/.../Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization by Ohad Samir, 2012 (rec 2011)/

1.flv

97.2 MB

slide_descr.txt

0.7 KB

slides.pdf

229.1 KB

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0.1 KB

/.../Relations Betweeen Machine Learning Problems by Robert C. Williamson, 2012 (rec 2011)/

1.flv

120.0 MB

slide_descr.txt

1.8 KB

slides.pdf

837.1 KB

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0.1 KB

/.../Introduction to Machine Learning by Iain Murray, 2010/

1.flv

232.6 MB

2.flv

245.7 MB

3.flv

413.8 MB

descr.txt

0.5 KB

slide_descr.txt

3.4 KB

slides1.pdf

3.2 MB

slides_small2.pdf

536.8 KB

slides_small3.pdf

1.2 MB

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0.0 KB

/.../Basics of probability and statistics by Mikaela Keller, 2007/

1.flv

122.7 MB

2.flv

104.9 MB

3.flv

84.8 MB

4.flv

240.6 MB

5.flv

130.7 MB

slide_descr.txt

5.8 KB

slides1a.pdf

584.5 KB

slides1b.pdf

71.3 KB

slides2a.pdf

286.4 KB

slides2b.pdf

71.3 KB

slides3a.pdf

368.1 KB

slides3b.pdf

71.3 KB

slides4.pdf

71.3 KB

slides5a.pdf

237.2 KB

slides5b.pdf

71.3 KB

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/.../A tutorial on Deep Learning by Geoffrey E. Hinton, 2009/

1.flv

201.2 MB

2.flv

212.2 MB

descr.txt

1.4 KB

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0.0 KB

slides.pdf

3.2 MB

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/.../Learning Deep Hierarchies of Representations by Yoshua Bengio, 2009/

1.flv

42.0 MB

descr.txt

1.6 KB

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0.0 KB

slides.pdf

3.9 MB

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0.0 KB

/.../Computer vision by Richard Hartley, 2009/

1.flv

344.4 MB

2.flv

331.8 MB

3.flv

369.3 MB

slide_descr.txt

1.3 KB

slides.pdf

5.3 MB

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0.0 KB

/.../Graphical models by Tibério Caetano, 2009/

1.flv

262.9 MB

2.flv

455.2 MB

3.flv

340.3 MB

4.flv

307.4 MB

5.flv

326.9 MB

6.flv

202.3 MB

slide_descr.txt

5.5 KB

slides.pdf

4.2 MB

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0.0 KB

/.../Group Theory in Machine Learning by Marconi Barbosa, 2009/

1.flv

172.7 MB

2.flv

169.3 MB

3.flv

185.5 MB

slide_descr.txt

4.9 KB

slides.pdf

8.1 MB

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0.0 KB

/.../Learning Theory by Mark Reid, 2009/

1.flv

205.3 MB

2.flv

175.9 MB

3.flv

137.7 MB

slide_descr.txt

8.6 KB

slides.pdf

15.6 MB

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/.../Reinforcement learning by Scott Sanner, 2009/

1.flv

174.6 MB

2.flv

174.6 MB

3.flv

160.5 MB

4.flv

158.4 MB

5.flv

145.6 MB

6.flv

130.4 MB

slide_descr.txt

6.6 KB

slides.pdf

3.4 MB

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0.0 KB

/.../From Trees to Forests and Rule Sets - A Unified Overview of Ensemble Methods by John Elder, Giovanni Seni, 2007/

1.flv

176.5 MB

2.flv

313.2 MB

slide_descr.txt

5.4 KB

slides.pdf

2.0 MB

url.txt

0.0 KB

/.../Learning Bayesian Networks by Richard E. Neapolitan, 2007/

1.flv

240.8 MB

2.flv

241.0 MB

3.flv

18.8 MB

slide_descr.txt

2.4 KB

slides1.ppt

1.2 MB

slides2.ppt

1.2 MB

slides3.ppt

1.2 MB

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0.0 KB

/.../Support Vector Machines and Kernel Methods by Colin Campbell, 2007/

1.flv

175.5 MB

2.flv

144.2 MB

slide_descr.txt

8.9 KB

slides1.pdf

610.9 KB

slides2.pdf

827.9 KB

url.txt

0.0 KB

 

Total files 617


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