142 search results - page 6 / 29 » Learning Graphical Model Structure Using L1-Regularization P... |
NIPS
2008
13 years 8 months ago
2008
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
NIPS
2008
13 years 8 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...