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» Learning to Control in Operational Space
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131
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ALT
2001
Springer
16 years 19 days ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
139
Voted
ICC
2007
IEEE
154views Communications» more  ICC 2007»
15 years 10 months ago
A Policy-Based Approach for Managing Ubiquitous Networks in Urban Spaces
— Modern cities are becoming increasingly networked Network Operator and the Service Providers can introduce environments and a plethora of computing equipment interacts their ow...
Antonis M. Hadjiantonis, Marinos Charalambides, Ge...
ICRA
2008
IEEE
106views Robotics» more  ICRA 2008»
15 years 10 months ago
A vision-based computed torque control for parallel kinematic machines
— In this paper, a novel approach for parallel kinematic machine control relying on a fast exteroceptive measure is implemented and validated on the Orthoglide robot. This approa...
Flavien Paccot, Philippe Lemoine, Nicolas Andreff,...
135
Voted
FUZZIEEE
2007
IEEE
15 years 10 months ago
Soft Target Based Obstacle Avoidance for Car-like Mobile Robot in Dynamic Environment
— The real time flexible operation of a car-like mobile robot with nonholonomic constraints in dynamic environment is still a very challenging problem. The difficulty lies in t...
Yougen Chen, Seiji Yasunobu
146
Voted
SGAI
2004
Springer
15 years 9 months ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater