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ICMLA
2007
15 years 2 months ago
Learning to evaluate conditional partial plans
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Slawomir Nowaczyk, Jacek Malec
97
Voted
AR
2007
105views more  AR 2007»
15 years 25 days ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
92
Voted
BC
2002
108views more  BC 2002»
15 years 17 days ago
Spike-timing-dependent plasticity: common themes and divergent vistas
Abstract. Recent experimental observations of spiketiming-dependent synaptic plasticity (STDP) have revitalized the study of synaptic learning rules. The most surprising aspect of ...
Ádám Kepecs, Mark C. W. van Rossum, ...
CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
16 years 6 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen
124
Voted
WWW
2004
ACM
16 years 1 months ago
KnowledgeTree: a distributed architecture for adaptive e-learning
This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge th...
Peter Brusilovsky