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PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
14 years 4 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
BIBE
2008
IEEE
14 years 4 months ago
Robust parameter identification for biological circuit calibration
Abstract-The aim of this work is to compare some deterministic optimization algorithms and evolutionary algorithms on parameter estimation in a biological circuit design problem: t...
Giuseppe Nicosia, Eva Sciacca
CVPR
2007
IEEE
14 years 4 months ago
A Minutiae-based Fingerprint Individuality Model
Fingerprint individuality study deals with the crucial problem of the discriminative power of fingerprints for recognizing people. In this paper, we present a novel fingerprint in...
Jiansheng Chen, Yiu Sang Moon
ICALT
2007
IEEE
14 years 4 months ago
The Web 2.0 Driven SECI Model Based Learning Process
Nonaka and his knowledge transformation model SECI revolutionized the thinking about organizations as social learning systems. He introduced technical concepts like hypertext into...
Mohamed Amine Chatti, Ralf Klamma, Matthias Jarke,...
IROS
2007
IEEE
135views Robotics» more  IROS 2007»
14 years 4 months ago
Dynamic identification of a mitsubishi pa10-6ce robot using motion capture
—This paper discusses a method to identify dynamic parameters in a rigid-link flexible-joint robot model using motion capture. The procedure is divided into two parts. First, the...
Chris Lightcap, Scott A. Banks