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» Reasoning about Knowledge Using Rough Sets
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CIKM
2009
Springer
14 years 2 months ago
Reducing the risk of query expansion via robust constrained optimization
We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
Kevyn Collins-Thompson
BROADNETS
2007
IEEE
14 years 2 months ago
Reduced flow routing: Leveraging residual capacity to reduce blocking in GMPLS networks
— Traffic engineering has been extensively studied to maximize network resource utilization while minimizing call blocking [1]. As the the demand for high data rate services ove...
Xiaolan J. Zhang, Sun-il Kim, Steven S. Lumetta
GIR
2006
ACM
14 years 1 months ago
Detecting Geographical Serving Area of Web Resources
Most human activities occur around where the user is physically located. Knowing the geographical serving area of web resources, therefore, is very important for many web applicat...
Qi Zhang, Xing Xie, Lee Wang, Lihua Yue, Wei-Ying ...
SIGIR
2004
ACM
14 years 1 months ago
Belief revision for adaptive information retrieval
Applying Belief Revision logic to model adaptive information retrieval is appealing since it provides a rigorous theoretical foundation to model partiality and uncertainty inheren...
Raymond Y. K. Lau, Peter Bruza, Dawei Song
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa