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TON
2010
162views more  TON 2010»
15 years 26 days ago
Fast Algorithms for Resource Allocation in Wireless Cellular Networks
Abstract--We consider a scheduled orthogonal frequency division multiplexed (OFDM) wireless cellular network where the channels from the base-station to the mobile users undergo fl...
Ritesh Madan, Stephen P. Boyd, Sanjay Lall
148
Voted
ICCV
2009
IEEE
16 years 11 months ago
Efficient Discriminative Learning of Parts-based Models
Supervised learning of a parts-based model can be for- mulated as an optimization problem with a large (exponen- tial in the number of parts) set of constraints. We show how thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
ICML
2001
IEEE
16 years 7 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
AUSAI
2005
Springer
15 years 11 months ago
Adaptive Utility-Based Scheduling in Resource-Constrained Systems
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
David Vengerov
AIR
2004
111views more  AIR 2004»
15 years 6 months ago
Towards Fast Vickrey Pricing using Constraint Programming
Ensuring truthfulness amongst self-interested agents bidding against one another in an auction can be computationally expensive when prices are determined using the Vickrey-Clarke-...
Alan Holland, Barry O'Sullivan