375 search results - page 23 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
140
Voted
CVPR
2003
IEEE
16 years 5 months ago
2003
IEEE
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
132
Voted
CSDA
2008
15 years 3 months ago
2008
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
108
Voted
FLAIRS
2008
15 years 6 months ago
2008
We present a Bayesian blackboard system for temporal perception, applied to a minidomain task in musical scene analysis. It is similar to the classic Copycat architecture (Hofstad...
121
Voted
AAAI
1997
15 years 5 months ago
1997
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
141
Voted
CIKM
2009
Springer
15 years 10 months ago
2009
Springer
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...