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» Evaluating Adaptive Problem Selection
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LCTRTS
2010
Springer
13 years 6 months ago
Improving both the performance benefits and speed of optimization phase sequence searches
The issues of compiler optimization phase ordering and selection present important challenges to compiler developers in several domains, and in particular to the speed, code size,...
Prasad A. Kulkarni, Michael R. Jantz, David B. Wha...
IUI
2000
ACM
14 years 1 months ago
Learning to recommend from positive evidence
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
Ingo Schwab, Wolfgang Pohl, Ivan Koychev
IWCMC
2006
ACM
14 years 2 months ago
Effective channel assignment in multi-hop W-CDMA cellular networks
Multi-hop relaying is an important concept in tackling the inherent problems of limited capacity and coverage in cellular networks. It helps to solve the dead-spots problem and to...
Yik Hung Tam, Hossam S. Hassanein, Selim G. Akl
TSMC
2008
116views more  TSMC 2008»
13 years 8 months ago
Fuzzy Techniques for Subjective Workload-Score Modeling Under Uncertainties
This paper deals with the development of a computer model to estimate the subjective workload score of individuals by evaluating their heart-rate (HR) signals. The identification o...
Mohit Kumar, D. Arndt, Steffi Kreuzfeld, Kerstin T...
WWW
2009
ACM
14 years 9 months ago
A class-feature-centroid classifier for text categorization
Automated text categorization is an important technique for many web applications, such as document indexing, document filtering, and cataloging web resources. Many different appr...
Hu Guan, Jingyu Zhou, Minyi Guo