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30 October 2015
- 10:5010:50, 30 October 2015 diff hist −8 human-level control through deep reinforcement learning →Results
- 10:5010:50, 30 October 2015 diff hist +238 human-level control through deep reinforcement learning →Results with model components removed
- 08:5208:52, 30 October 2015 diff hist +65 human-level control through deep reinforcement learning →Results with model components removed
- 08:4908:49, 30 October 2015 diff hist −4 human-level control through deep reinforcement learning →Results with model components removed
- 08:4808:48, 30 October 2015 diff hist +737 human-level control through deep reinforcement learning No edit summary
- 00:0400:04, 30 October 2015 diff hist +212 human-level control through deep reinforcement learning No edit summary
- 00:0000:00, 30 October 2015 diff hist +56 N File:Performance.JPG Performance of DQN vs. Human Tester and Existing Results current
29 October 2015
- 23:5923:59, 29 October 2015 diff hist +873 human-level control through deep reinforcement learning No edit summary
- 23:4723:47, 29 October 2015 diff hist +359 human-level control through deep reinforcement learning No edit summary
- 23:1123:11, 29 October 2015 diff hist +56 N File:QLearning Alg.JPG The algorithm for deep Q-learning with Experience Replay current
- 23:1023:10, 29 October 2015 diff hist +1,529 human-level control through deep reinforcement learning No edit summary
- 22:3622:36, 29 October 2015 diff hist +682 human-level control through deep reinforcement learning →Training
- 21:5121:51, 29 October 2015 diff hist +156 human-level control through deep reinforcement learning No edit summary
- 21:4921:49, 29 October 2015 diff hist +2 human-level control through deep reinforcement learning →Training Details
- 21:4821:48, 29 October 2015 diff hist −3 human-level control through deep reinforcement learning →Training Details
- 21:4721:47, 29 October 2015 diff hist −13 human-level control through deep reinforcement learning →Training Details
- 21:3121:31, 29 October 2015 diff hist −27 human-level control through deep reinforcement learning No edit summary
- 21:2921:29, 29 October 2015 diff hist +1,540 human-level control through deep reinforcement learning No edit summary
- 21:0221:02, 29 October 2015 diff hist +66 N File:Network Architecture.JPG A visualization of the deep convolutional network that estimates Q current
- 19:2219:22, 29 October 2015 diff hist +902 human-level control through deep reinforcement learning No edit summary
- 18:4218:42, 29 October 2015 diff hist +1 human-level control through deep reinforcement learning No edit summary
- 18:4118:41, 29 October 2015 diff hist +1,559 human-level control through deep reinforcement learning →Methodology
- 12:3412:34, 29 October 2015 diff hist +5,637 N human-level control through deep reinforcement learning Created page with "== Introduction == Reinforcement learning is "the study of how animals and artificial systems can learn to optimize their behaviour in the face of rewards and punishments" <ref>..."
23 October 2015
- 12:1512:15, 23 October 2015 diff hist +47 parsing natural scenes and natural language with recursive neural networks →Recursive Neural Networks for Structure Prediction: Improved readability of math expressions by inserting "\,"
22 October 2015
- 22:2122:21, 22 October 2015 diff hist −2 m parsing natural scenes and natural language with recursive neural networks →Input Representation: Adjusted some of the math formatting to make it easier to read.
- 13:5513:55, 22 October 2015 diff hist +1 f15Stat946PaperSignUp →Set A
- 13:5513:55, 22 October 2015 diff hist +2 f15Stat946PaperSignUp →Set B
- 13:5413:54, 22 October 2015 diff hist 0 f15Stat946PaperSignUp →Set B
- 13:5313:53, 22 October 2015 diff hist +122 f15Stat946PaperSignUp No edit summary
13 October 2015
- 23:2123:21, 13 October 2015 diff hist 0 proposal for STAT946 (Deep Learning) final projects Fall 2015 No edit summary
- 23:2023:20, 13 October 2015 diff hist +750 proposal for STAT946 (Deep Learning) final projects Fall 2015 No edit summary
2 October 2015
- 13:1213:12, 2 October 2015 diff hist +74 f15Stat946PaperSignUp No edit summary
- 13:1113:11, 2 October 2015 diff hist +69 f15Stat946PaperSignUp No edit summary
- 13:0913:09, 2 October 2015 diff hist +72 f15Stat946PaperSignUp No edit summary
19 December 2014
- 20:1420:14, 19 December 2014 diff hist +19 stat841f14 →Learning Affine Transformations for Nonlinear Dimensionality Recuction (Lecture 19: Nov. 27, 2014)
- 20:0620:06, 19 December 2014 diff hist +328 stat841f14 →History: - Prevalence in chemometrics initially
- 19:5819:58, 19 December 2014 diff hist 0 stat841f14 →Non-negative Matrix Factorization Via Rank-one Doundate(NMF) (Lecture 13: Oct 27, 2014)
- 19:5319:53, 19 December 2014 diff hist +3 stat841f14 →K-Means++ Initialization
- 19:5319:53, 19 December 2014 diff hist +1,233 stat841f14 →Clustering (Lecture 15: Nov 3, 2014)
10 December 2014
- 11:5411:54, 10 December 2014 diff hist +97 stat841f14 →Derivation of HSIC: - Added detail and refinement to Lagrange Multiplier section
8 December 2014
- 13:4913:49, 8 December 2014 diff hist +996 stat841f14 →Classical Fisher's discriminant analysis (FDA): - Included a description of the FDA algorithm for the 2-class problem
- 13:3613:36, 8 December 2014 diff hist +1,009 stat841f14 →Classical Fisher's discriminant analysis (FDA)
- 12:4712:47, 8 December 2014 diff hist +2 stat841f14 →Locally Linear Embedding (LLE)
- 12:4512:45, 8 December 2014 diff hist +278 stat841f14 →ISOMAP
7 December 2014
- 14:0114:01, 7 December 2014 diff hist +38 stat841f14 →Connection of Singular Value Decomposition to PCA
- 13:5813:58, 7 December 2014 diff hist −6 stat841f14 →Introduction
- 13:5713:57, 7 December 2014 diff hist +28 m stat841f14 →Introduction
- 13:5513:55, 7 December 2014 diff hist +23 m stat841f14 →Introduction
22 November 2014
- 11:2611:26, 22 November 2014 diff hist +4 m stat841f14 →Multidimensional scaling
- 11:2511:25, 22 November 2014 diff hist +2 m stat841f14 →Multidimensional scaling