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GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
16 years 5 days ago
Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption
Abstract. Many multi-robot systems are heterogeneous cooperative systems, systems consisting of different species of robots cooperating with each other to achieve a common goal. T...
Hongwei Liu, Hitoshi Iba
GECCO
2003
Springer
156views Optimization» more  GECCO 2003»
16 years 5 days ago
Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
Flaviu Adrian Marginean
GECCO
2003
Springer
182views Optimization» more  GECCO 2003»
16 years 5 days ago
Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
Allan Tucker, Xiaohui Liu, David Garway-Heath
ICCSA
2003
Springer
16 years 5 days ago
Coupling Tangent-Linear and Adjoint Models
Abstract. We consider the solution of a (generalized) eigenvalue problem arising in physical oceanography that involves the evaluation of both the tangent-linear and adjoint versio...
Uwe Naumann, Patrick Heimbach
3DPVT
2002
IEEE
15 years 12 months ago
A Model (In)Validation Approach to Gait Recognition
This paper addresses the problem of human gait recognition by applying model (in)validation techniques. The main idea is to associate to each class of gaits a nominal model and a ...
Cecilia Mazzaro, Mario Sznaier, Octavia I. Camps, ...