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CORR
2008
Springer
133views Education» more  CORR 2008»
15 years 3 months ago
Estimating divergence functionals and the likelihood ratio by convex risk minimization
We develop and analyze M-estimation methods for divergence functionals and the likelihood ratios of two probability distributions. Our method is based on a non-asymptotic variatio...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
133
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ISCAS
2007
IEEE
136views Hardware» more  ISCAS 2007»
15 years 9 months ago
Flexible Low Power Probability Density Estimation Unit For Speech Recognition
— This paper describes the hardware architecture for a flexible probability density estimation unit to be used in a Large Vocabulary Speech Recognition System, and targeted for m...
Ullas Pazhayaveetil, Dhruba Chandra, Paul Franzon
ECML
2005
Springer
15 years 8 months ago
Active Learning for Probability Estimation Using Jensen-Shannon Divergence
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
Prem Melville, Stewart M. Yang, Maytal Saar-Tsecha...
ICPP
2008
IEEE
15 years 9 months ago
A List-Based Strategy for Optimal Replica Placement in Data Grid Systems
—Data replications is a typical strategy for improving access performance and data availability in Data Grid systems. Current works on data replication in Grid systems focus on t...
Yi-Fang Lin, Jan-Jan Wu, Pangfeng Liu
CIARP
2006
Springer
15 years 5 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...