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GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
14 years 19 days ago
A Bayesian approach to learning classifier systems in uncertain environments
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
SDM
2010
SIAM
149views Data Mining» more  SDM 2010»
13 years 10 months ago
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneide...
ICRA
2005
IEEE
91views Robotics» more  ICRA 2005»
14 years 2 months ago
Learning to Steer on Winding Tracks Using Semi-Parametric Control Policies
— We present a semi-parametric control policy representation and use it to solve a series of nonholonomic control problems with input state spaces of up to 7 dimensions. A neares...
Kenneth Robert Alton, Michiel van de Panne
CDC
2008
IEEE
14 years 3 months ago
Suppressing intersample behavior in Iterative Learning Control
— Iterative Learning Control (ILC) is a control strategy to improve the performance of digital batch repetitive processes. Due to its digital implementation, discrete time ILC ap...
Tom Oomen, Jeroen van de Wijdeven, Okko Bosgra
CCS
2009
ACM
14 years 3 months ago
A probabilistic approach to hybrid role mining
Role mining algorithms address an important access control problem: configuring a role-based access control system. Given a direct assignment of users to permissions, role mining...
Mario Frank, Andreas P. Streich, David A. Basin, J...