375 search results - page 49 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
120
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JMLR
2010
14 years 8 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...
ICML
2005
IEEE
16 years 2 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...
119
Voted
AAAI
2006
15 years 3 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...
138
Voted
UAI
2008
15 years 3 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 ...
115
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JMLR
2010
14 years 8 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...