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» Computing Large and Small Stable Models
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117
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JCB
2002
70views more  JCB 2002»
14 years 11 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...
75
Voted
WWW
2009
ACM
16 years 9 days 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
15 years 5 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»
14 years 11 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
14 years 9 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...