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» Acceleration of the EM algorithm
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NIPS
2007
15 years 2 months ago
Convex Relaxations of Latent Variable Training
We investigate a new, convex relaxation of an expectation-maximization (EM) variant that approximates a standard objective while eliminating local minima. First, a cautionary resu...
Yuhong Guo, Dale Schuurmans
CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
15 years 1 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery
VLSID
2008
IEEE
133views VLSI» more  VLSID 2008»
16 years 1 months ago
Exhaustive Enumeration of Legal Custom Instructions for Extensible Processors
Today's customizable processors allow the designer to augment the base processor with custom accelerators. By choosing appropriate set of accelerators, designer can significa...
Nagaraju Pothineni, Anshul Kumar, Kolin Paul
ICCAD
2007
IEEE
130views Hardware» more  ICCAD 2007»
15 years 10 months ago
Analysis and optimization of power-gated ICs with multiple power gating configurations
- Power gating is an efficient technique for reducing leakage power in electronic devices by disconnecting blocks idle for long periods of time from the power supply. Disconnecting...
Aida Todri, Malgorzata Marek-Sadowska, Shih-Chieh ...
UAI
1997
15 years 2 months ago
Update Rules for Parameter Estimation in Bayesian Networks
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
Eric Bauer, Daphne Koller, Yoram Singer