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ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
14 years 2 months ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
HM
2007
Springer
137views Optimization» more  HM 2007»
14 years 1 months ago
A Hybrid VNS for Connected Facility Location
The connected facility location (ConFL) problem generalizes the facility location problem and the Steiner tree problem in graphs. Given a graph G = (V, E), a set of customers D ⊆...
Ivana Ljubic
CASES
2007
ACM
13 years 11 months ago
A fast and generic hybrid simulation approach using C virtual machine
Instruction Set Simulators (ISSes) are important tools for cross-platform software development. The simulation speed is a major concern and many approaches have been proposed to i...
Lei Gao, Stefan Kraemer, Rainer Leupers, Gerd Asch...
ACL
2011
12 years 11 months ago
Learning Sub-Word Units for Open Vocabulary Speech Recognition
Large vocabulary speech recognition systems fail to recognize words beyond their vocabulary, many of which are information rich terms, like named entities or foreign words. Hybrid...
Carolina Parada, Mark Dredze, Abhinav Sethy, Ariya...
WSC
2008
13 years 10 months ago
Discrete Rate Simulation using linear programming
Discrete Rate Simulation (DRS) is a modeling methodology that uses event based logic to simulate linear continuous processes and hybrid systems. These systems are concerned with t...
Cecile Damiron, Anthony Nastasi