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» Learning Models of Macrobehavior in Complex Adaptive Systems
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NIPS
2007
15 years 4 months ago
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how local learning rules at single synapses su...
Robert A. Legenstein, Dejan Pecevski, Wolfgang Maa...
128
Voted
GECCO
2008
Springer
149views Optimization» more  GECCO 2008»
15 years 4 months ago
Real-time imitation-based adaptation of gaming behaviour in modern computer games
In the course of the recent complexification and sophistication of commercial computer games, the creation of competitive artificial players that are able to behave intelligentl...
Steffen Priesterjahn, Alexander Weimer, Markus Ebe...
ICIP
2002
IEEE
16 years 5 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...
131
Voted
APCHI
2004
IEEE
15 years 7 months ago
Designing for Flow in a Complex Activity
One component of a user's interaction with computer systems is commonly referred to as `flow'. Flow is an important consideration in interactive system design as it enca...
Jon M. Pearce, Steve Howard
ICALT
2005
IEEE
15 years 9 months ago
LM-DTM: An Environment for XML-Based, LIP/PAPI-Compliant Deployment, Transformation and Matching of Learner Models
Our shared belief is that learning, like other human activities, cannot and will not be confined within rigidly defined course systems or learning repositories, inclosing learning...
Mohamed Amine Chatti, Ralf Klamma, Christoph Quix,...