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» Learning Behavior Models for Hybrid Timed Systems
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164
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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
127
Voted
PAMI
2008
182views more  PAMI 2008»
15 years 3 months ago
Gaussian Process Dynamical Models for Human Motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
143
Voted
ICRA
2009
IEEE
227views Robotics» more  ICRA 2009»
15 years 10 months ago
Adaptive autonomous control using online value iteration with gaussian processes
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
Axel Rottmann, Wolfram Burgard
ICANN
2001
Springer
15 years 8 months ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
126
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ISTA
2004
15 years 5 months ago
On a Network Forensics Model For Information Security
: The employment of a patchwork of nonintegrated security products can only provide incomplete coverage, which cannot give the total panorama of the network misuse behavior. Networ...
Wei Ren