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» Decomposing replicable functions
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GECCO
2009
Springer
15 years 2 months ago
Problem decomposition using indirect reciprocity in evolved populations
Evolutionary problem decomposition techniques divide a complex problem into simpler subproblems, evolve individuals to produce subcomponents that solve the subproblems, and then a...
Heather Goldsby, Sherri Goings, Jeff Clune, Charle...
IPMI
2003
Springer
15 years 10 months ago
A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration
We formulate and interpret several registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implici...
John W. Fisher III, Lilla Zöllei, William M. ...
ICML
2009
IEEE
15 years 10 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
VLSID
2003
IEEE
126views VLSI» more  VLSID 2003»
15 years 10 months ago
Comparison of Heuristic Algorithms for Variable Partitioning in Circuit Implementation
Functional decomposition is a process of splitting a complex circuit into smaller sub-circuits. This paper deals with the problem of determining the set of best free and bound var...
Muthukumar Venkatesan, Henry Selvaraj
ISSAC
2009
Springer
167views Mathematics» more  ISSAC 2009»
15 years 4 months ago
High order derivatives and decomposition of multivariate polynomials
In this paper, we present an improved method for decomposing multivariate polynomials. This problem, also known as the Functional Decomposition Problem (FDP) [17, 9, 27], is class...
Jean-Charles Faugère, Ludovic Perret