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» Using iterated reasoning to predict opponent strategies
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CL
2010
Springer
13 years 7 months ago
Cost-driven autonomous mobility
Autonomous mobile programs (AMPs) offer a novel decentralised load management technology where periodic use is made of cost models to decide where to execute in a network. In this...
Xiao Yan Deng, Greg Michaelson, Philip W. Trinder
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
13 years 9 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
CDC
2010
IEEE
124views Control Systems» more  CDC 2010»
13 years 2 months ago
Underactuated control and distribution of multi-agent systems in stratified flow environments
The present paper shows how vertical actuation alone may be used to effectively control the spatial distribution of mobile vehicles ("balloons" in air, or "drifters&...
Robert H. Krohn, Thomas R. Bewley
SIAMSC
2011
142views more  SIAMSC 2011»
13 years 2 months ago
Efficiency Based Adaptive Local Refinement for First-Order System Least-Squares Formulations
Abstract. In this paper, we propose new adaptive local refinement (ALR) strategies for firstorder system least-squares (FOSLS) finite element in conjunction with algebraic multi...
J. H. Adler, Thomas A. Manteuffel, Stephen F. McCo...
ECAI
2000
Springer
13 years 12 months ago
Focusing Search by Using Problem Solving Experience
Case-based reasoning (CBR) aims at using experience from the past in order to guide future problem solving rather than “starting from scratch” every time. We propose a CBR stra...
Eyke Hüllermeier