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AAAI
2007
15 years 9 months ago
Using Expectation Maximization to Find Likely Assignments for Solving CSP's
We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...
Eric I. Hsu, Matthew Kitching, Fahiem Bacchus, She...
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 8 months ago
Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed
Derandomization by means of mirroring has been recently introduced to enhance the performances of (1, λ)-EvolutionStrategies (ESs) with the aim of designing fast robust local sea...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
ATAL
2008
Springer
15 years 8 months ago
Self-organized flocking with a mobile robot swarm
This paper studies self-organized flocking in a swarm of mobile robots. We present Kobot, a mobile robot platform developed specifically for swarm robotic studies, briefly describ...
Ali Emre Turgut, Hande Çelikkanat, Fatih G&...
ATAL
2008
Springer
15 years 8 months ago
Graph Laplacian based transfer learning in reinforcement learning
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
Yi-Ting Tsao, Ke-Ting Xiao, Von-Wun Soo
CAISE
2008
Springer
15 years 8 months ago
On the Definition of Service Granularity and Its Architectural Impact
Service granularity generally refers to the size of a service. The fact that services should be large-sized or coarse-grained is often postulated as a fundamental design principle ...
Raf Haesen, Monique Snoeck, Wilfried Lemahieu, Ste...