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CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 6 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
EKAW
2010
Springer
15 years 6 months ago
Ontology Engineering with Rough Concepts and Instances
A scenario in ontology development and its use is hypothesis testing, such as finding new subconcepts based on the data linked to the ontology. During such experimentation, knowle...
C. Maria Keet
ESWA
2008
134views more  ESWA 2008»
15 years 6 months ago
Neighborhood classifiers
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
Qinghua Hu, Daren Yu, Zongxia Xie
221
Voted
IAJIT
2010
157views more  IAJIT 2010»
15 years 6 months ago
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Database
: Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the p...
Ashraf El-Sisi
142
Voted
ICRA
2010
IEEE
97views Robotics» more  ICRA 2010»
15 years 6 months ago
Probabilistic motion planning of balloons in strong, uncertain wind fields
—This paper introduces a new algorithm for probabilistic motion planning in arbitrary, uncertain vector fields, with emphasis on high-level planning for Montgolfier´e balloons...
Michael T. Wolf, Lars Blackmore, Yoshiaki Kuwata, ...
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