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UAI
2003
13 years 10 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
ISMB
1993
13 years 10 months ago
Computationally Efficient Cluster Representation in Molecular Sequence Megaclassification
Molecular sequence megaclassification is a technique for automated protein sequence analysis and annotation. Implementation of the method has been limited by the need to store and...
David J. States, Nomi L. Harris, Lawrence Hunter
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 10 months ago
The study for transportation planning considered the inventory using hybrid genetic algorithm
The transportation planning (TP) is well-known basic network problem. However, for some real-world applications, it is often that the TP model is extended to satisfy other additio...
Shinichiro Ataka, Mitsuo Gen
GLOBECOM
2008
IEEE
13 years 10 months ago
Blooming Trees for Minimal Perfect Hashing
Abstract—Hash tables are used in many networking applications, such as lookup and packet classification. But the issue of collisions resolution makes their use slow and not suit...
Gianni Antichi, Domenico Ficara, Stefano Giordano,...
CORR
2010
Springer
183views Education» more  CORR 2010»
13 years 9 months ago
Forming the COUNCIL Based Clusters in Securing Wireless Ad Hoc Networks
-- In cluster-based routing protocol (CBRP), two-level hierarchical structure is successfully used to reduce over-flooding in wireless ad hoc networks. As it is vulnerable to a sin...
Alok Ojha, Hongmei Deng, Dharma P. Agrawal, Sugata...