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» The Complexity of Valued Constraint Models
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CORR
2000
Springer
92views Education» more  CORR 2000»
15 years 1 months ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee
SIGMETRICS
2000
ACM
111views Hardware» more  SIGMETRICS 2000»
15 years 1 months ago
AMVA techniques for high service time variability
Motivated by experience gained during the validation of a recent Approximate Mean Value Analysis (AMVA) model of modern shared memory architectures, this paper re-examines the &qu...
Derek L. Eager, Daniel J. Sorin, Mary K. Vernon
JMLR
2010
143views more  JMLR 2010»
14 years 12 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
SPIRE
2010
Springer
14 years 11 months ago
Why Large Closest String Instances Are Easy to Solve in Practice
We initiate the study of the smoothed complexity of the Closest String problem by proposing a semi-random model of Hamming distance. We restrict interest to the optimization versio...
Christina Boucher, Kathleen Wilkie
ICASSP
2011
IEEE
14 years 5 months ago
Urban terrain tracking in high clutter with waveform-agility
We consider the problem of tracking a maneuvering target in urban terrain with high clutter. Although multipath has been previously exploited to improve target tracking in complex...
Bhavana Chakraborty, Jun Jason Zhang, Antonia Papa...