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» Guiding Agent Learning in Design
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CIIA
2009
13 years 9 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
ITS
2000
Springer
156views Multimedia» more  ITS 2000»
13 years 11 months ago
A Coached Collaborative Learning Environment for Entity-Relationship Modeling
Abstract. We discuss the design of an agent for coaching collaborative learning in a distance learning context. The learning domain is entity-relationship modeling, a domain in whi...
María de los Angeles Constantino-Gonz&aacut...
SGAI
2004
Springer
14 years 1 months ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater
AAAI
1996
13 years 9 months ago
Generation of Attributes for Learning Algorithms
Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relat...
Yuh-Jyh Hu, Dennis F. Kibler
AAAI
2008
13 years 10 months ago
Bounding the False Discovery Rate in Local Bayesian Network Learning
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
Ioannis Tsamardinos, Laura E. Brown