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ICONIP
2007
13 years 6 months ago
Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents
The aim of the Cyber Rodent project [1] is to elucidate the origin of our reward and affective systems by building artificial agents that share the natural biological constraints...
Eiji Uchibe, Kenji Doya
KDD
2000
ACM
142views Data Mining» more  KDD 2000»
13 years 8 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
ECAI
2000
Springer
13 years 9 months ago
Designing Clustering Methods for Ontology Building - The Mo'K Workbench
This paper describes Mo’K, a configurable workbench that supports the development of conceptual clustering methods for ontology building. Mo’K is intended to assist ontology de...
Gilles Bisson, Claire Nedellec, Dolores Cañ...
ISF
2010
109views more  ISF 2010»
13 years 3 months ago
From IT deployment capabilities to competitive advantage: An exploratory study in China
As more and more companies are deploying, or plan to deploy, information systems, the organizational capabilities to effectively deploy information technologies to support and shap...
Jun Tian, Kanliang Wang, Yan Chen, Björn Joha...