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» Finding Structure in Reinforcement Learning
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WWW
2004
ACM
16 years 7 months ago
Ontological representation of learning objects: building interoperable vocabulary and structures
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
Jian Qin, Naybell Hernández
AAAI
2007
15 years 9 months ago
Manifold Denoising as Preprocessing for Finding Natural Representations of Data
A natural representation of data is given by the parameters which generated the data. If the space of parameters is continuous, then we can regard it as a manifold. In practice, w...
Matthias Hein, Markus Maier
EHCI
2004
15 years 8 months ago
Finding Iteration Patterns in Dynamic Web Page Authoring
Most of the current WWW is made up of dynamic pages. The development of dynamic pages is a difficult and costly endeavour, out-of-reach for most users, experts, and content produce...
José A. Macías, Pablo Castells
ISCAS
2006
IEEE
103views Hardware» more  ISCAS 2006»
16 years 1 months ago
Towards autonomous adaptive behavior in a bio-inspired CNN-controlled robot
— This paper describes a general approach for the unsupervised learning of behaviors in a behavior-based robot. The key idea is to formalize a behavior produced by a Motor Map dr...
Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Pa...
INTERSPEECH
2010
15 years 1 months ago
Still talking to machines (cognitively speaking)
This overview article reviews the structure of a fully statistical spoken dialogue system (SDS), using as illustration, various systems and components built at Cambridge over the ...
Steve Young