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CIKM
2009
Springer
14 years 22 days ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han
EMSOFT
2007
Springer
14 years 22 days ago
A unified practical approach to stochastic DVS scheduling
This paper deals with energy-aware real-time system scheduling using dynamic voltage scaling (DVS) for energy-constrained embedded systems that execute variable and unpredictable ...
Ruibin Xu, Rami G. Melhem, Daniel Mossé
ICDCS
2010
IEEE
14 years 21 days ago
Localized Algorithm for Precise Boundary Detection in 3D Wireless Networks
—This research focuses on distributed and localized algorithms for precise boundary detection in 3D wireless networks. Our objectives are in two folds. First, we aim to identify ...
Hongyu Zhou, Su Xia, Miao Jin, Hongyi Wu
ICLP
2010
Springer
14 years 21 days ago
Models for Trustworthy Service and Process Oriented Systems
Abstract. Service and process-oriented systems promise to provide more effective business and work processes and more flexible and adaptable enterprise IT systems. However, the t...
Hugo A. López
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
14 years 21 days ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
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