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JMLR
2006
92views more  JMLR 2006»
13 years 10 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
JSAC
2007
56views more  JSAC 2007»
13 years 10 months ago
Grouping and partner selection in cooperative wireless networks
— Various results to date have demonstrated the advantages of one or several relay nodes assisting transmissions in a wireless network. In many practical scenarios, not all nodes...
Aria Nosratinia, Todd E. Hunter
TKDE
1998
163views more  TKDE 1998»
13 years 9 months ago
A Highly Effective Partition Selection Policy for Object Database Garbage Collection
—We investigate methods to improve the performance of algorithms for automatic storage reclamation of object databases. These algorithms are based on a technique called partition...
Jonathan E. Cook, Alexander L. Wolf, Benjamin G. Z...
ICML
1994
IEEE
14 years 1 months ago
Greedy Attribute Selection
Many real-world domains bless us with a wealth of attributes to use for learning. This blessing is often a curse: most inductive methods generalize worse given too many attributes...
Rich Caruana, Dayne Freitag
ESWS
2009
Springer
14 years 1 months ago
Hybrid Adaptive Web Service Selection with SAWSDL-MX and WSDL-Analyzer
Abstract. In this paper, we present an adaptive, hybrid semantic matchmaker for SAWSDL services, called SAWSDL-MX2. It determines three kinds of semantic service similarity with a ...
Matthias Klusch, Patrick Kapahnke, Ingo Zinnikus