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ESSMAC
2003
Springer
14 years 2 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
CCS
2008
ACM
13 years 11 months ago
A class of probabilistic models for role engineering
Role Engineering is a security-critical task for systems using role-based access control (RBAC). Different role-mining approaches have been proposed that attempt to automatically ...
Mario Frank, David A. Basin, Joachim M. Buhmann
ICPR
2004
IEEE
14 years 10 months ago
Probabilistic People Tracking for Occlusion Handling
This work presents a novel people tracking approach, able to cope with frequent shape changes and large occlusions. In particular, the tracks are described by means of probabilist...
Rita Cucchiara, Costantino Grana, Giovanni Tardini...
ATAL
2007
Springer
14 years 3 months ago
Automatic feature extraction for autonomous general game playing agents
The General Game Playing (GGP) problem is concerned with developing systems capable of playing many different games, even games the system has never encountered before. Successful...
David M. Kaiser
CDC
2008
IEEE
113views Control Systems» more  CDC 2008»
14 years 3 months ago
Norm optimal Cross-Coupled Iterative Learning Control
— In this paper, we focus on improving contour tracking in precision motion control (PMC) applications through the use of Cross-Coupled Iterative Learning Control (CCILC). Initia...
Kira Barton, Jeroen van de Wijdeven, Andrew Alleyn...