User contributions for Lruan
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16 November 2015
- 21:1121:11, 16 November 2015 diff hist 0 N File:Modell.png No edit summary current
- 21:0921:09, 16 November 2015 diff hist 0 N File:LMH.png No edit summary current
- 21:0921:09, 16 November 2015 diff hist 0 N File:DNI.png No edit summary current
- 21:0921:09, 16 November 2015 diff hist +376 deep Learning of the tissue-regulated splicing code No edit summary
- 20:5720:57, 16 November 2015 diff hist +1,879 deep Learning of the tissue-regulated splicing code No edit summary
- 20:0920:09, 16 November 2015 diff hist +6 deep Learning of the tissue-regulated splicing code →Model
- 16:4816:48, 16 November 2015 diff hist +107 deep Learning of the tissue-regulated splicing code →Model
- 16:0716:07, 16 November 2015 diff hist +1,766 deep Learning of the tissue-regulated splicing code No edit summary
- 10:4810:48, 16 November 2015 diff hist 0 deep Learning of the tissue-regulated splicing code →Introduction
- 10:4810:48, 16 November 2015 diff hist +2 deep Learning of the tissue-regulated splicing code →Introduction
- 10:4710:47, 16 November 2015 diff hist +1,148 N deep Learning of the tissue-regulated splicing code Created page with "= Introduction = Alternative splicing(AS) is a regulated process during gene expression that enables the same gene to give rise to splicing isoforms containing different combina..."
12 November 2015
- 20:5320:53, 12 November 2015 diff hist +28 dropout No edit summary
- 20:5120:51, 12 November 2015 diff hist +67 dropout →Introduction
- 20:4720:47, 12 November 2015 diff hist +707 dropout →Model
- 20:3420:34, 12 November 2015 diff hist −4 dropout No edit summary
- 20:3320:33, 12 November 2015 diff hist +12 dropout →Result
- 20:3320:33, 12 November 2015 diff hist 0 dropout →Comparison
- 20:3220:32, 12 November 2015 diff hist 0 N File:Result.png No edit summary
- 20:3020:30, 12 November 2015 diff hist +13 dropout →Comparison
- 20:2820:28, 12 November 2015 diff hist +692 dropout No edit summary
- 20:1420:14, 12 November 2015 diff hist +218 dropout No edit summary
- 20:1020:10, 12 November 2015 diff hist +28 dropout →Effects of Dropout
- 20:0920:09, 12 November 2015 diff hist +16 dropout →Model
- 20:0820:08, 12 November 2015 diff hist 0 N File:Test.png No edit summary current
- 20:0820:08, 12 November 2015 diff hist 0 N File:Sparsity.png No edit summary current
- 20:0720:07, 12 November 2015 diff hist 0 N File:Pvalue.png No edit summary current
- 20:0720:07, 12 November 2015 diff hist 0 N File:Comparison.png No edit summary current
- 20:0720:07, 12 November 2015 diff hist 0 N File:Feature.png No edit summary current
- 20:0620:06, 12 November 2015 diff hist 0 N File:Datasize.png No edit summary current
- 20:0620:06, 12 November 2015 diff hist −1 dropout No edit summary
- 20:0220:02, 12 November 2015 diff hist 0 N File:Intro.png No edit summary current
- 19:3219:32, 12 November 2015 diff hist +2,781 dropout No edit summary
8 November 2015
- 23:5423:54, 8 November 2015 diff hist 0 f15Stat946PaperSignUp →Set A
- 23:5323:53, 8 November 2015 diff hist +222 f15Stat946PaperSignUp →Set B
- 23:1623:16, 8 November 2015 diff hist +1 dropout No edit summary
- 23:1623:16, 8 November 2015 diff hist +77 dropout No edit summary
2 November 2015
- 22:1622:16, 2 November 2015 diff hist +1,038 dropout →Model
- 21:3721:37, 2 November 2015 diff hist +452 dropout No edit summary
- 21:2021:20, 2 November 2015 diff hist +764 N dropout Created page with "= Introduction = Dropout is one of the techniques for preventing overfitting in deep neural network which contains a large number of parameters. The key idea is to randomly drop ..."
- 21:1821:18, 2 November 2015 diff hist +22 f15Stat946PaperSignUp No edit summary
- 19:5719:57, 2 November 2015 diff hist +1,767 learning Hierarchical Features for Scene Labeling No edit summary
28 October 2015
- 10:5610:56, 28 October 2015 diff hist +614 goingDeeperWithConvolutions No edit summary
21 October 2015
- 23:0423:04, 21 October 2015 diff hist +4 parsing natural scenes and natural language with recursive neural networks →Unsupervised Recursive Autoencoer for structure Predictionhttp://nlp.stanford.edu/pubs/SocherPenningtonHuangNgManning_EMNLP2011.pdf.
- 23:0123:01, 21 October 2015 diff hist +1,674 parsing natural scenes and natural language with recursive neural networks No edit summary
- 10:2610:26, 21 October 2015 diff hist 0 stat946f15/Sequence to sequence learning with neural networks →More on Recurrent Neural Network
- 10:2610:26, 21 October 2015 diff hist +1 stat946f15/Sequence to sequence learning with neural networks →More on Recurrent Neural Network
- 10:2510:25, 21 October 2015 diff hist +630 stat946f15/Sequence to sequence learning with neural networks →More on Recurrent Neural Network
- 10:1210:12, 21 October 2015 diff hist +717 stat946f15/Sequence to sequence learning with neural networks No edit summary
5 October 2015
- 09:5809:58, 5 October 2015 diff hist +6 f15Stat946PaperSignUp No edit summary
- 09:5809:58, 5 October 2015 diff hist +136 f15Stat946PaperSignUp No edit summary