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» Estimating Likelihoods for Topic Models
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111
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SAC
2011
ACM
14 years 7 months ago
A quasi-Newton acceleration for high-dimensional optimization algorithms
Abstract In many statistical problems, maximum likelihood estimation by an EM or MM algorithm suffers from excruciatingly slow convergence. This tendency limits the application of ...
Hua Zhou, David Alexander, Kenneth Lange
62
Voted
WSC
2008
15 years 3 months ago
Displaying statistical point estimators: The leading-digit procedure
We propose a procedure for reporting a statistical point estimator and its precision for statistical experiments such as simulation experiments. Based on three criteria --loss of ...
Wheyming Tina Song, Bruce W. Schmeiser
95
Voted
JMLR
2010
125views more  JMLR 2010»
14 years 7 months ago
Variational methods for Reinforcement Learning
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
Thomas Furmston, David Barber
CVPR
2007
IEEE
16 years 2 months ago
Spatio-Temporal Markov Random Field for Video Denoising
This paper presents a novel spatio-temporal Markov random field (MRF) for video denoising. Two main issues are addressed in this paper, namely, the estimation of noise model and t...
Jia Chen, Chi-Keung Tang
ICML
2005
IEEE
16 years 1 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky