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TNN
2008
133views more  TNN 2008»
15 years 4 months ago
A General Wrapper Approach to Selection of Class-Dependent Features
In this paper, we argue that for a C-class classification problem, C 2-class classifiers, each of which discriminating one class from the other classes and having a characteristic ...
Lipo Wang, Nina Zhou, Feng Chu
JMLR
2010
185views more  JMLR 2010»
14 years 11 months ago
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
We introduce a simple order-based greedy heuristic for learning discriminative structure within generative Bayesian network classifiers. We propose two methods for establishing an...
Franz Pernkopf, Jeff A. Bilmes
ICANN
2007
Springer
15 years 8 months ago
Active Learning to Support the Generation of Meta-examples
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
TOSEM
2010
95views more  TOSEM 2010»
15 years 2 months ago
Supporting dynamic aspect-oriented features
Nu model provides a higher level of abstraction compared to traditional object-oriented ILs, making it easier to eciently support dynamic AO features. We demonstrate these benets...
Robert Dyer, Hridesh Rajan
TCAD
2008
167views more  TCAD 2008»
15 years 4 months ago
System-Level Dynamic Thermal Management for High-Performance Microprocessors
Abstract--Thermal issues are fast becoming major design constraints in high-performance systems. Temperature variations adversely affect system reliability and prompt worst-case de...
Amit Kumar 0002, Li Shang, Li-Shiuan Peh, Niraj K....