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CORR
2008
Springer
133views Education» more  CORR 2008»
15 years 6 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. ...
ISCAS
2007
IEEE
136views Hardware» more  ISCAS 2007»
16 years 19 days 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 12 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
16 years 23 days 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 8 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...