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IROS
2008
IEEE
141views Robotics» more  IROS 2008»
14 years 2 months ago
Active sensing based dynamical object feature extraction
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...
ICPR
2000
IEEE
14 years 8 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
GIS
2002
ACM
13 years 7 months ago
Calibration of stochastic cellular automata: the application to rural-urban land conversions
Despite the recognition of cellular automata (CA) as a exible and powerful tool for urban growth simulation, the calibration of CA had been largely heuristic until recent eVorts to...
Fulong Wu
IWANN
2009
Springer
14 years 2 months ago
TEMMAS: The Electricity Market Multi-Agent Simulator
—This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, na...
Paulo Trigo, Paulo Marques, Helder Coelho
MICAI
2000
Springer
13 years 11 months ago
A Neurocontrol Scheme of a 2-DOF Manipulator Using CMAC
Artificial Neural Networks (ANN) are an emerging technology, yet, in continuous dynamic behavior, much work has been done to attempt to generate a formal method to design a contro...
Raúl Leal Ascencio, Marco A. Pérez C...