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» Approximation algorithms for budgeted learning problems
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DA
2010
123views more  DA 2010»
13 years 5 months ago
Paradoxes in Learning and the Marginal Value of Information
We consider the Bayesian ranking and selection problem, in which one wishes to allocate an information collection budget as efficiently as possible to choose the best among severa...
Peter Frazier, Warren B. Powell
ICIP
2000
IEEE
14 years 10 months ago
Shape Approximation Through Recursive Scalable Layer Generation
This paper presents an e cient recursive algorithm for generating operationally optimal intra mode scalable layer decompositions of object contours. The problem is posed in terms ...
Gerry Melnikov, Aggelos K. Katsaggelos
TSP
2008
115views more  TSP 2008»
13 years 8 months ago
Approximation Bounds for Semidefinite Relaxation of Max-Min-Fair Multicast Transmit Beamforming Problem
Consider a downlink multicast scenario where a base station equipped with multiple antennas wishes to simultaneously broadcast a number of signals to some given groups of users ove...
Tsung-Hui Chang, Zhi-Quan Luo, Chong-Yung Chi
AAAI
2008
13 years 10 months ago
Physical Search Problems Applying Economic Search Models
This paper considers the problem of an agent searching for a resource or a tangible good in a physical environment, where at each stage of its search it observes one source where ...
Yonatan Aumann, Noam Hazon, Sarit Kraus, David Sar...
DCC
2002
IEEE
14 years 8 months ago
Bit Allocation in Sub-linear Time and the Multiple-Choice Knapsack Problem
We show that the problem of optimal bit allocation among a set of independent discrete quantizers given a budget constraint is equivalent to the multiple choice knapsack problem (...
Alexander E. Mohr