Workshop

Workshop

8 Lectures · Jun 24, 2007

About

**Workshop - Constrained Optimization and Learning with Structured Outputs

**

In recent years, there has been a great deal of work relating constrained optimization problems with machine learning in structured output spaces. This has given rise to a number of novel and powerful approaches to solving some extremely difficult machine learning problems. We hope that this workshop will bring together researchers in both of these areas, thereby encouraging further collaboration and increasing awareness of the issues at hand in both communities.

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Uploaded videos:

Invited talks

42:50

Semi-supervised Structured Prediction Models

Ulf Brefeld

Jun 24, 2007

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6554 Views

Invited Talk
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01:12:41

Structural Prediction in Statistical Alignment and Translation

Ben Taskar

Jun 24, 2007

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6853 Views

Lecture

Lectures

30:47

Salience Assignment for Multiple-Instance Regression

Terran Lane

Jun 24, 2007

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2920 Views

Lecture
36:25

Toward Learning Mixture-of-Parts Pictorial Structures

Alan Fern

Jun 24, 2007

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5259 Views

Lecture
25:39

Learning CRFs with Hierarchical Features: An Application to Go

Scott Sanner

Jun 24, 2007

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8675 Views

Lecture
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37:10

Discriminative Graphical Models for Protein Quaternary Structure Motif Detection

Yan Liu

Jun 24, 2007

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5695 Views

Lecture
35:45

Parameter Learning for Loopy Markov Random Fields with Structural Support Vector...

Thomas Finley

Jun 25, 2007

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5358 Views

Lecture
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26:46

Learning a Layered Graph with a Maximal Number of Distinct Paths Between Source ...

Willem Waegeman

Jun 25, 2007

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2779 Views

Lecture