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WADS
2005
Springer
111views Algorithms» more  WADS 2005»
15 years 12 months ago
Near-Optimal Pricing in Near-Linear Time
We present efficient approximation algorithms for a number of problems that call for computing the prices that maximize the revenue of the seller on a set of items. Algorithms for ...
Jason D. Hartline, Vladlen Koltun
TSP
2008
101views more  TSP 2008»
15 years 6 months ago
Optimal Node Density for Detection in Energy-Constrained Random Networks
The problem of optimal node density maximizing the Neyman-Pearson detection error exponent subject to a constraint on average (per node) energy consumption is analyzed. The spatial...
Animashree Anandkumar, Lang Tong, Ananthram Swami
AVSS
2006
IEEE
16 years 13 days ago
Large System Decision Fusion Performance in Inhomogeneous Sensor Networks
The problem of decision fusion in a large wireless sensor system with many power-constrained distributed nodes is considered. The sensor network is assumed to be inhomogeneous. i....
Sudharman K. Jayaweera, Kossai Al-Tarazi
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 10 months 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...
CDC
2010
IEEE
124views Control Systems» more  CDC 2010»
15 years 1 months ago
Deployment of drifters in a piecewise-constant flow environment
We study a deployment strategy for a group of vehicles that drift in an ambient flow field. Specifically, we address the case where the flow is always greater in magnitude than an ...
Andrew Kwok, Sonia Martínez