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Exponential Families in Feature Space - Part 6
Published on Feb 25, 20074036 Views
In this introductory course we will discuss how log linear models can be extended to feature space. These log linear models have been studied by statisticians for a long time under the name of exponen
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Chapter list
Gaussian Processes00:02
Our Model and GP04:17
Representer Theorem13:22
GP and Missing Variables14:46
Conjugate Priors15:03
Novelty Detection15:05
Novelty Detection15:10
Optimization Problems25:18
Odds Ratio31:32
Multiclass SVM33:17
Odds Ratio34:25
Multiclass SVM37:25
Multiclass SVM - II41:34
Optimal Separating Hyperplane42:17
Multiclass SVM - II42:35
Optimal Separating Hyperplane43:49
Introducing Slack45:44
Dual Problem47:46
Another Formulation48:16
A Laundry List48:21
Odds Ratio and Missing Vars48:27
Multiclass SVM - II49:26
Odds Ratio and Missing Vars49:40
Constrained CCCP50:47