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.
Videos
Invited talks

01:12:41
Structural Prediction in Statistical Alignment and Translation
Jun 24, 2007
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6864 views
Semi-supervised Structured Prediction Models
Jun 24, 2007
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6554 views
Lectures
Learning CRFs with Hierarchical Features: An Application to Go
Jun 24, 2007
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8675 views
Parameter Learning for Loopy Markov Random Fields with Structural Support Vector...
Jun 25, 2007
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5358 views

26:46
Learning a Layered Graph with a Maximal Number of Distinct Paths Between Source ...
Jun 25, 2007
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2785 views

37:10
Discriminative Graphical Models for Protein Quaternary Structure Motif Detection
Jun 24, 2007
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5702 views
Salience Assignment for Multiple-Instance Regression
Jun 24, 2007
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2920 views
Toward Learning Mixture-of-Parts Pictorial Structures
Jun 24, 2007
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5259 views