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CEC
2005
IEEE
16 years 15 days ago
Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm
Abstract- Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs)...
Siddhartha Shakya, John A. W. McCall, Deryck F. Br...
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
16 years 8 days ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
RECOMB
2000
Springer
15 years 10 months ago
Sequencing-by-hybridization at the information-theory bound: an optimal algorithm
In a recent paper (Preparata et al., 1999) we introduced a novel probing scheme for DNA sequencing by hybridization (SBH). The new gapped-probe scheme combines natural and univers...
Franco P. Preparata, Eli Upfal
NIPS
2001
15 years 8 months ago
On the Generalization Ability of On-Line Learning Algorithms
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
COMCOM
2008
131views more  COMCOM 2008»
15 years 7 months ago
CORA: Collaborative Opportunistic Recovery Algorithm for loss controlled, delay bounded ad hoc multicast
In this paper, we present Collaborative Opportunistic Recovery Algorithm (CORA) designed for multicast multimedia applications with low loss as well as latency constraints in ad h...
Yunjung Yi, Jiejun Kong, Mario Gerla, Joon-Sang Pa...