4947 search results - page 217 / 990 » Learning Module Networks |
104
Voted
ICALT
2007
IEEE
15 years 9 months ago
2007
IEEE
This work proposes the exploration of student’s information through the use of Bayesian Networks. By using thisapproach we aim to model the uncertainty inherent to the studentâ€...
123
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ICRA
1998
IEEE
15 years 7 months ago
1998
IEEE
: Precise sensorimotor mappings between various motor, ensor, and abstract physical spaces are the basis for many robotics tasks. Their cheap construction is a challenge for adapti...
128
Voted
PERCOM
2004
ACM
16 years 2 months ago
2004
ACM
Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions o...
131
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EVOW
2003
Springer
15 years 8 months ago
2003
Springer
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
111
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ECSQARU
2005
Springer
15 years 8 months ago
2005
Springer
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...