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KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 7 days ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 3 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
ICRA
2009
IEEE
227views Robotics» more  ICRA 2009»
15 years 6 months ago
Adaptive autonomous control using online value iteration with gaussian processes
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
Axel Rottmann, Wolfram Burgard
GPEM
2008
128views more  GPEM 2008»
14 years 12 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood
SP
2002
IEEE
134views Security Privacy» more  SP 2002»
14 years 11 months ago
Performance engineering, PSEs and the GRID
Performance Engineering is concerned with the reliable prediction and estimation of the performance of scientific and engineering applications on a variety of parallel and distrib...
Tony Hey, Juri Papay