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» Modeling Rule Precision
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116
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ATAL
2006
Springer
15 years 6 months ago
Rule value reinforcement learning for cognitive agents
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Christopher Child, Kostas Stathis
151
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ISCI
2011
14 years 9 months ago
Sequential covering rule induction algorithm for variable consistency rough set approaches
We present a general rule induction algorithm based on sequential covering, suitable for variable consistency rough set approaches. This algorithm, called VC-DomLEM, can be used f...
Jerzy Blaszczynski, Roman Slowinski, Marcin Szelag
ACSC
2007
IEEE
15 years 9 months ago
On Inferences of Full Hierarchical Dependencies
Full hierarchical dependencies (FHDs) constitute a large class of relational dependencies. A relation exhibits an FHD precisely when it can be decomposed into at least two of its ...
Sven Hartmann, Sebastian Link
RULES
1993
Springer
134views Database» more  RULES 1993»
15 years 6 months ago
Temporal Rule Specification and Management in Object-oriented Knowledge Bases
There have been many recent research efforts on temporal databases for managing current and historical data and on active databases for monitoring real-world events as well as dat...
Stanley Y. W. Su, Hsin-Hsing M. Chen
83
Voted
IROS
2007
IEEE
85views Robotics» more  IROS 2007»
15 years 8 months ago
Probabilistic map building considering sensor visibility for mobile robot
— This paper describes a method of probabilistic obstacle map building based on Bayesian estimation. Most active or passive obstacle sensors observe only the most frontal objects...
Kazuma Haraguchi, Nobutaka Shimada, Yoshiaki Shira...