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Learning with Dual Heterogeneity: A Nonparametric Bayes Model
Published on Oct 07, 20142699 Views
Traditional data mining techniques are designed to model a single type of heterogeneity, such as multi-task learning for modeling task heterogeneity, multi-view learning for modeling view heterogeneit
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Chapter list
Learning with Dual Heterogeneity: A Nonparametric Bayes Model00:00
What is Heterogeneity?00:11
Heterogeneous Learning: Overview00:53
Applications01:15
Roadmap02:08
Multi-task Multi-view Learning02:38
An Example: Good Guy vs. Bad Guy02:56
An Example: Features03:14
An Example: View Heterogeneity - 103:54
An Example: Task Heterogeneity - 204:17
Roadmap04:36
Partially Overlapping Views - 104:38
Partially Overlapping Views - 204:59
Dirichlet Process (DP) Mixture Models05:05
Notations07:49
Model Formulation08:35
Task Relatedness09:09
To Be Continued… - 110:58
View Consistency11:36
To Be Continued… - 212:31
To Be Continued… - 313:44
Graphical Representation14:00
Experimental Results: Multiple Tasks, Non-identical Views14:30
Experimental Results: Multiple Tasks, Identical Views14:59
Roadmap15:03
Conclusions15:05