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
Structural Prediction in Statistical Alignment and Translation
Jun 24, 2007 6870 views
Semi-supervised Structured Prediction Models
Jun 24, 2007 6554 views
Lectures
Learning CRFs with Hierarchical Features: An Application to Go
Jun 24, 2007 8675 views
Parameter Learning for Loopy Markov Random Fields with Structural Support Vector...
Jun 25, 2007 5358 views
Learning a Layered Graph with a Maximal Number of Distinct Paths Between Source ...
Jun 25, 2007 2787 views
Discriminative Graphical Models for Protein Quaternary Structure Motif Detection
Jun 24, 2007 5710 views
Salience Assignment for Multiple-Instance Regression
Jun 24, 2007 2920 views
Toward Learning Mixture-of-Parts Pictorial Structures
Jun 24, 2007 5259 views
