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» Network bargaining: algorithms and structural results
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ICML
2006
IEEE
14 years 8 months ago
Full Bayesian network classifiers
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
Jiang Su, Harry Zhang
ISMB
1993
13 years 9 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik
ICTAI
2007
IEEE
14 years 2 months ago
A Java-Based Distributed Genetic Algorithm Framework
Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization methods. In this paper we describe DGAFrame, a flexible framework for evolutionary...
Gabi Escuela, Yudith Cardinale, Jorge Gonzá...
TON
2002
144views more  TON 2002»
13 years 7 months ago
Algorithms for provisioning virtual private networks in the hose model
Virtual Private Networks (VPNs) provide customers with predictable and secure network connections over a shared network. The recently proposed hose model for VPNs allows for great...
Amit Kumar, Rajeev Rastogi, Abraham Silberschatz, ...
DEBS
2010
ACM
13 years 3 months ago
Distributed structural and value XML filtering
Many XML filtering systems have emerged in recent years identifying XML data that structurally match XPath queries in an efficient way. However, apart from structural matching, it...
Iris Miliaraki, Manolis Koubarakis