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» Explanation-Based Neural Network Learning for Robot Control
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IDA
2008
Springer
15 years 1 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
108
Voted
ECAL
2007
Springer
15 years 8 months ago
The Evolution of Pain
We describe two simple simulations in which artificial organisms evolve an ability to respond to inputs from within their own body and these inputs themselves can evolve. In the fi...
Alberto Acerbi, Domenico Parisi
SAB
2010
Springer
150views Optimization» more  SAB 2010»
14 years 11 months ago
Internal Models in the Cerebellum: A Coupling Scheme for Online and Offline Learning in Procedural Tasks
The cerebellum plays a major role in motor control. It is thought to mediate the acquisition of forward and inverse internal models of the bodyenvironment interaction [1]. In this ...
Jean-Baptiste Passot, Niceto Luque, Angelo Arleo
107
Voted
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
15 years 6 days ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...
109
Voted
TCSV
2002
132views more  TCSV 2002»
15 years 1 months ago
A study of real-time packet video quality using random neural networks
An important and unsolved problem today is the automatic quantification of the quality of video flows transmitted over packet networks. In particular, the ability to perform this ...
Samir Mohamed, Gerardo Rubino