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GECCO
2004
Springer
150views Optimization» more  GECCO 2004»
14 years 1 months ago
Parameter Adaptation within Co-adaptive Learning Classifier Systems
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
Chung-Yuan Huang, Chuen-Tsai Sun
CSMR
2007
IEEE
14 years 2 months ago
Online Construction of Dynamic Object Process Graphs
A dynamic object process graph is a view on the control flow graph from the perspective of a single object. It has been shown that such a graph can be a useful starting point for...
Jochen Quante
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
14 years 1 months ago
Terrain generation using genetic algorithms
We propose a method for applying genetic algorithms to create 3D terrain data sets. Existing procedural algorithms for generation of terrain have several shortcomings. The most po...
TeongJoo Ong, Ryan Saunders, John Keyser, John J. ...
ICCAD
1999
IEEE
101views Hardware» more  ICCAD 1999»
14 years 16 days ago
Efficient model reduction of interconnect via approximate system gramians
Krylov-subspace based methods for generating low-order models of complicated interconnect are extremely effective, but there is no optimality theory for the resulting models. Alte...
Jing-Rebecca Li, Jacob White
NIPS
2007
13 years 9 months ago
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng