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DKE
2007
95views more  DKE 2007»
14 years 9 months ago
Strategies for improving the modeling and interpretability of Bayesian networks
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
Ádamo L. de Santana, Carlos Renato Lisboa F...
JIFS
2007
102views more  JIFS 2007»
14 years 9 months ago
Knowledge propagation in a distributed omnidirectional vision system
In this paper an omnidirectional Distributed Vision System (DVS) is presented. The presented DVS is able to learn to navigate a mobile robot in its working environment without any...
Emanuele Menegatti, C. Simionato, Stefano Tonello,...
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 3 months ago
Genetic programming for cross-task knowledge sharing
We consider multitask learning of visual concepts within genetic programming (GP) framework. The proposed method evolves a population of GP individuals, with each of them composed...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
14 years 8 months ago
Using model knowledge for learning inverse dynamics
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Duy Nguyen-Tuong, Jan Peters
IJBIDM
2006
78views more  IJBIDM 2006»
14 years 9 months ago
Appraisal of companies with Bayesian networks
: Appraisal of companies is an important business activity. We mainly apply Bayesian networks for this classification task for Japanese electric company data. Firstly, few standard...
Priyantha Wijayatunga, Shigeru Mase, Masanori Naka...