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AIR
2006
107views more  AIR 2006»
13 years 10 months ago
Just enough learning (of association rules): the TAR2 "Treatment" learner
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
Tim Menzies, Ying Hu
ALGORITHMICA
2006
160views more  ALGORITHMICA 2006»
13 years 10 months ago
Combinatorial Algorithms for the Unsplittable Flow Problem
We provide combinatorial algorithms for the unsplittable flow problem (UFP) that either match or improve the previously best results. In the UFP we are given a (possibly directed)...
Yossi Azar, Oded Regev
ANOR
2006
133views more  ANOR 2006»
13 years 10 months ago
An integrated model for logistics network design
In this paper we introduce a new formulation of the logistics network design problem encountered in deterministic, single-country, single-period contexts. Our formulation is flexi...
Jean-François Cordeau, Federico Pasin, Mari...
AUTOMATICA
2006
74views more  AUTOMATICA 2006»
13 years 10 months ago
Distributed receding horizon control for multi-vehicle formation stabilization
We consider the control of interacting subsystems whose dynamics and constraints are decoupled, but whose state vectors are coupled non-separably in a single cost function of a fi...
William B. Dunbar, Richard M. Murray
AUTOMATICA
2006
132views more  AUTOMATICA 2006»
13 years 10 months ago
A new autocovariance least-squares method for estimating noise covariances
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...