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» Intelligent Selection of Language Model Training Data
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95
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ACL
2010
15 years 19 days ago
Cognitively Plausible Models of Human Language Processing
We pose the development of cognitively plausible models of human language processing as a challenge for computational linguistics. Existing models can only deal with isolated phen...
Frank Keller
67
Voted
ACL
2000
15 years 4 months ago
Distribution-Based Pruning of Backoff Language Models
We propose a distribution-based pruning of n-gram backoff language models. Instead of the conventional approach of pruning n-grams that are infrequent in training data, we prune n...
Jianfeng Gao, Kai-Fu Lee
120
Voted
BMCBI
2006
165views more  BMCBI 2006»
15 years 2 months ago
A stable gene selection in microarray data analysis
Background: Microarray data analysis is notorious for involving a huge number of genes compared to a relatively small number of samples. Gene selection is to detect the most signi...
Kun Yang, Zhipeng Cai, Jianzhong Li, Guohui Lin
100
Voted
SMA
2005
ACM
125views Solid Modeling» more  SMA 2005»
15 years 8 months ago
One-dimensional selections for feature-based data exchange
In the parametric feature based design paradigm, most features possess arguments that are subsets of the boundary of the current model, subsets defined interactively by user sele...
Ari Rappoport, Steven N. Spitz, Michal Etzion
121
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ENGL
2007
100views more  ENGL 2007»
15 years 2 months ago
Utilizing Computational Intelligence to Assist in Software Release Decision
—Defect tracking using computational intelligence methods is used to predict software readiness in this study. By comparing predicted number of faults and number of faults discov...
Tong-Seng Quah, Mie Mie Thet Thwin