0.25
0.5
0.75
1.25
1.5
1.75
2
Multi-label learning from batch and streaming data
Published on 2017-01-311013 Views
Presentation
Multi-label learning from batch and streaming data00:00
Introduction - 105:51:43
Introduction - 329:21:13
Introduction - 436:48:40
Introduction - 559:39:07
Single-label vs.Multi-label - 170:49:50
Single-label vs.Multi-label - 279:57:55
Outline - 184:43:25
Text Categorization and Tag Recommendation - 185:49:13
Text Categorization and Tag Recommendation - 2104:53:35
Labelling Images112:10:55
Labelling Audio117:06:01
Related Tasks134:58:19
Related Areas144:53:57
Streaming Multi-label Data164:45:30
Demand Prediction181:52:36
Localization and Tracking201:41:50
Route/Destination Forecasting218:06:35
Multi-label Classification230:38:07
BR Transformation250:16:30
Why Not Binary Relevance? - 1256:10:24
Why Not Binary Relevance? - 2269:52:10
Classifier Chains298:45:59
Bayes Optimal CC304:08:28
CC Transformation312:57:20
Greedy CC323:27:55
Example - 1332:58:49
Example - 2334:07:43
Example - 3336:48:12
Example - 4338:03:15
Example - 5341:42:12
Example - 6365:53:40
Does Label-orderMatter? - 1383:19:14
Does Label-orderMatter? - 2404:28:10
Label PowersetMethod (LP) - 1423:03:45
Label PowersetMethod (LP) - 2442:25:54
Issues with LP450:37:37
Meta Labels - 1469:13:51
Meta Labels - 2493:33:07
Summary of Mehtods507:33:11
Label Dependence in MLC - 1532:54:29
Label Dependence in MLC - 2547:03:28
Marginal label dependence - 1583:55:39
Marginal label dependence - 2594:39:09
Marginal label dependence - 3605:41:28
Marginal label dependence - 4610:13:41
Conditional label dependence - 1617:05:57
Conditional label dependence - 2635:52:41
The Logical Problem - 1638:17:08
The Logical Problem - 2650:58:14
The Logical Problem - 3671:59:05
Solution via Structure689:25:39
Solution via Multi-class Decomposition700:12:32
Solution via Con. Independence707:19:40
Solution via Suitable Base-classifier717:17:12
Detecting Dependence727:06:51
A fresh look at Problem Transformation743:31:09
Label Dependence: Summary757:22:00
Classification in Data Streams800:32:45
Multi-label Streams Methods811:13:23
Batch-Incremental Ensemble817:06:05
Problem Transformation with Incremental Base Learner849:38:44
Multi-label kNN870:43:26
ML Incremental Decision Trees - 1904:31:22
ML Incremental Decision Trees - 2912:49:52
Neural networks946:27:18
Multi-label Data Streams: Issues976:04:39
Multi-label Concept Drift - 1993:21:13
Multi-label Concept Drift - 21017:08:10
Example1027:22:57
Dealing with Concept Drift1062:39:10
Dealing with Unlabelled Instances - 11079:00:53
Dealing with Unlabelled Instances - 21125:03:31
Summary1139:38:02
Multi-label learning from batch and streaming data1153:21:01