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» The Complexity of Valued Constraint Models
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CORR
2000
Springer
92views Education» more  CORR 2000»
13 years 8 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»
13 years 8 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»
13 years 7 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
13 years 6 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
13 years 7 days 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...