759 search results - page 61 / 152 » Structured Learning with Approximate Inference |
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
MICCAI
2009
Springer
15 years 4 months ago
2009
Springer
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
110
click to vote
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
In this paper, we present an event parsing algorithm based on Stochastic Context Sensitive Grammar (SCSG) for understanding events, inferring the goal of agents, and predicting th...
108
click to vote
AI
2010
Springer
14 years 10 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
UAI
2004
14 years 11 months ago
2004
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...