Sciweavers

23 search results - page 4 / 5
» Scalability of genetic programming and probabilistic increme...
Sort
View
CEC
2010
IEEE
13 years 8 months ago
An examination on the modularity of grammars in grammatical evolutionary design
Abstract-- This work furthers the understanding of modularity in grammar-based genetic programming approaches by analyzing how different grammars may be capable of producing the sa...
John Mark Swafford, Michael O'Neill
DAC
2008
ACM
14 years 8 months ago
Cache modeling in probabilistic execution time analysis
Multimedia-dominated consumer electronics devices (such as cellular phone, digital camera, etc.) operate under soft real-time constraints. Overly pessimistic worst-case execution ...
Yun Liang, Tulika Mitra
ICANN
1997
Springer
13 years 11 months ago
On Learning Soccer Strategies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy but may behave differently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
ML
1998
ACM
117views Machine Learning» more  ML 1998»
13 years 7 months ago
Learning Team Strategies: Soccer Case Studies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
CEC
2005
IEEE
14 years 1 months ago
CasGP: building cascaded hierarchical models using niching
— A Cascaded model is introduced for mining large datasets using Genetic Programming without recourse to specialist hardware. Such an algorithm satisfies the seeming conflictin...
Peter Lichodzijewski, Malcolm I. Heywood, A. Nur Z...