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EUROCAST
2007
Springer
15 years 5 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
115
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TMC
2010
14 years 9 months ago
2010
—This paper presents SYNAPSE++, a system for over the air reprogramming of wireless sensor networks (WSNs). In contrast to previous solutions, which implement plain negative ackn...
102
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GECCO
2010
Springer
15 years 4 months ago
2010
Springer
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
103
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JAIR
2006
14 years 11 months ago
2006
Fast Downward is a classical planning system based on heuristic search. It can deal with general deterministic planning problems encoded in the propositional fragment of PDDL2.2, ...
127
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CVPR
2012
IEEE
13 years 1 months ago
2012
IEEE
In this paper we consider the problem of recovering the free space of an indoor scene from its single image. We show that exploiting the box like geometric structure of furniture ...