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Semi-supervised learning for SOP
Published on Jan 31, 2017898 Views
Chapter list
Semi-supervised Learning for Structured Output Prediction00:00
Summary - 100:17
Summary - 203:00
Secondary Structure Prediction03:33
Why is it difficult?04:33
Classification with Taxonomies05:13
Named Entity Recognition05:30
Summarization06:07
Machine Translation06:28
Parsing06:46
Part-of-Speech Tagging07:16
Markov Random Fields - 107:53
Markov Random Fields - 208:59
Markov Random Fields - 309:06
Markov Random Fields - 410:19
Markov Random Fields - 510:31
Markov Random Fields - 611:07
Part-of-Speech Tagging - 111:48
Part-of-Speech Tagging - 212:18
Part-of-Speech Tagging - 312:45
Ranking Outputs - 113:25
Ranking Outputs - 213:50
Ranking Outputs - 313:58
Ranking Outputs - 414:39
Structured Loss15:17
Margin-rescaling16:40
Slack-rescaling17:29
Special case18:05
Structural SVMs - 118:23
Structural SVMs - 219:11
Structured SVMs19:47
Optimization20:39
Optimization: Schema - 121:15
Optimization: Schema - 221:47
Optimization: Schema - 322:01
Optimization: Schema - 422:55
Optimization: Schema - 523:11
Optimization: Schema - 623:16
Optimization: Schema - 723:34
Optimization: Schema - 823:42
Optimization: Schema - 923:48
Optimization: Schema - 1023:49
Computation of Argmax (Decoding)23:57
Go Real… - 125:03
Go Real… - 226:25
Semi-supervised Structured Learning26:34
Cluster Assumption27:19
Transductive Structured SVMs28:17
Unconstraint Structured SVMs - 129:20
Unconstraint Structured SVMs - 230:09
Unconstraint Structured SVMs - 330:17
Unconstraint Structured SVMs - 430:45
Unconstraint Structured SVMs - 634:18
Unconstraint Structured SVMs - 534:28
Execution Time35:36
Named Entity Recognition - 136:28
Named Entity Recognition - 236:28
Transduction with Partial Labels - 137:25
Transduction with Partial Labels - 238:00
Transduction with Partial Labels - 338:55
Constrained Viterbi Algorithm39:03
Partial Labels never Worse39:22
Graph Laplacians for SOP40:10
Co-Learning42:48
Why Does It Work? - 144:12
Why Does It Work? - 244:36
Why Does It Work? - 344:48
Why Does It Work? - 445:06
Why Does It Work? - 545:09
Why Does It Work? - 645:11
Why Does It Work? - 745:34
Why Does It Work? - 845:37
Why Does It Work? - 945:42
Consensus Maximization Principle - 145:57
Consensus Maximization Principle - 246:25
Co-Learning46:28
Structured Co-SVMs47:33
Optimizing Unlabeled Examples49:32
Named Entity Recognition51:49
Gene/Protein Recognition51:53
Natural Language Parsing52:17
WSJ / Negra — Parsing52:22
Execution Time52:59
Wrap-Up53:16