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JIFS
2008
155views more  JIFS 2008»
13 years 9 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
CSL
2007
Springer
13 years 9 months ago
Partially observable Markov decision processes for spoken dialog systems
In a spoken dialog system, determining which action a machine should take in a given situation is a difficult problem because automatic speech recognition is unreliable and hence ...
Jason D. Williams, Steve Young
JCT
2006
88views more  JCT 2006»
13 years 9 months ago
Multiplicative structures in additively large sets
Abstract. Previous research extending over a few decades has established that multiplicatively large sets (in any of several interpretations) must have substantial additive structu...
Mathias Beiglböck, Vitaly Bergelson, Neil Hin...
JHSN
2006
96views more  JHSN 2006»
13 years 9 months ago
Supporting heterogeneous middleware security policies in WebCom
With the growing interest in service-oriented architectures, achieving seamless interoperability between heterogeneous middleware technologies has become increasingly important. W...
Simon N. Foley, Barry P. Mulcahy, Thomas B. Quilli...
JMLR
2006
206views more  JMLR 2006»
13 years 9 months ago
New Algorithms for Efficient High-Dimensional Nonparametric Classification
This paper is about non-approximate acceleration of high-dimensional nonparametric operations such as k nearest neighbor classifiers. We attempt to exploit the fact that even if w...
Ting Liu, Andrew W. Moore, Alexander G. Gray