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» Computing Large and Small Stable Models
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JCB
2002
70views more  JCB 2002»
13 years 7 months ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
WWW
2009
ACM
14 years 8 months ago
Social search in "Small-World" experiments
The "algorithmic small-world hypothesis" states that not only are pairs of individuals in a large social network connected by short paths, but that ordinary individuals ...
Sharad Goel, Roby Muhamad, Duncan J. Watts
SEMCO
2007
IEEE
14 years 1 months ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng
JCC
2008
138views more  JCC 2008»
13 years 7 months ago
Circular dichroism enhancement in large DNA aggregates simulated by a generalized oscillator model
Abstract: An increased circular dichroism (CD) signal of large molecular aggregates formed upon DNA condensation was observed a long time ago, and is often referred to as w-CD. The...
Valery Andrushchenko, Petr Bour
ICPADS
2010
IEEE
13 years 5 months ago
Simulating Large Scale Parallel Applications Using Statistical Models for Sequential Execution Blocks
Abstract-Predicting sequential execution blocks of a large scale parallel application is an essential part of accurate prediction of the overall performance of the application. Whe...
Gengbin Zheng, Gagan Gupta, Eric J. Bohm, Isaac Do...