375 search results - page 49 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
141
click to vote
JMLR
2010
14 years 10 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
119
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
126
click to vote
AAAI
2006
15 years 5 months ago
2006
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
155
click to vote
UAI
2008
15 years 5 months ago
2008
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
135
Voted
JMLR
2010
14 years 10 months ago
2010
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...