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» Parallelizing Feature Selection
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112
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PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
15 years 8 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
105
Voted
ANLP
1997
80views more  ANLP 1997»
15 years 3 months ago
Sequential Model Selection for Word Sense Disambiguation
Statistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set...
Ted Pedersen, Rebecca F. Bruce, Janyce Wiebe
131
Voted
IBPRIA
2005
Springer
15 years 8 months ago
Extended Bi-gram Features in Text Categorization
Usually, in traditional text categorization systems based on Vector Space Model, there is no context information in a feature vector, which limited the performance of the system. T...
Xian Zhang, Xiaoyan Zhu
116
Voted
IPPS
2006
IEEE
15 years 8 months ago
On-the-fly kernel updates for high-performance computing clusters
High-performance computing clusters running longlived tasks currently cannot have kernel software updates applied to them without causing system downtime. These clusters miss oppo...
Kristis Makris, Kyung Dong Ryu
CCGRID
2001
IEEE
15 years 6 months ago
xBSP: An Efficient BSP Implementation for clan
Virtual Interface Architecture(VIA) is a light-weight protocol for protected user-level zero-copy communication. In spite of high performance of VIA, the previous MPI implementati...
Yang-Suk Kee, Soonhoi Ha