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GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 10 months ago
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
Terry P. Riopka, Peter Bock
NIPS
2008
15 years 8 months ago
Continuously-adaptive discretization for message-passing algorithms
Continuously-Adaptive Discretization for Message-Passing (CAD-MP) is a new message-passing algorithm for approximate inference. Most message-passing algorithms approximate continu...
Michael Isard, John MacCormick, Kannan Achan
EACL
2006
ACL Anthology
15 years 8 months ago
Online Learning of Approximate Dependency Parsing Algorithms
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
Ryan T. McDonald, Fernando C. N. Pereira
IJCAI
2001
15 years 8 months ago
Refining the Basic Constraint Propagation Algorithm
Constraint propagation is the main feature of any constraint solver. This is thus of prime importance to manage constraint propagation as efficiently as possible, justifying the us...
Christian Bessière, Jean-Charles Rég...
ICASSP
2010
IEEE
15 years 6 months ago
Ergodic stochastic optimization algorithms for wireless communication and networking
— Ergodic stochastic optimization (ESO) algorithms are proposed to solve resource allocation problems that involve a random state and where optimality criteria are expressed in t...
Alejandro Ribeiro