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AAAI
2000
15 years 1 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
WIOPT
2010
IEEE
14 years 10 months ago
Reservation policies for revenue maximization from secondary spectrum access in cellular networks
We consider the problem of providing opportunistic spectrum access to secondary users in wireless cellular networks. From the standpoint of spectrum license holders, achieving ben...
Ashraf Al Daoud, Murat Alanyali, David Starobinski
CVPR
2009
IEEE
16 years 7 months ago
Harris Corners in the Real World: A Principled Selection Criterion for Interest Points Based on Ecological Statistics
In this report, we consider whether statistical regularities in natural images might be exploited to provide an improved selection criterion for interest points. One approach that ...
Neil D. B. Bruce, Pierre Kornprobst
ATAL
2007
Springer
15 years 6 months ago
Multiagent reinforcement learning and self-organization in a network of agents
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
Sherief Abdallah, Victor R. Lesser
BMCBI
2007
190views more  BMCBI 2007»
14 years 12 months ago
Discriminative motif discovery in DNA and protein sequences using the DEME algorithm
Background: Motif discovery aims to detect short, highly conserved patterns in a collection of unaligned DNA or protein sequences. Discriminative motif finding algorithms aim to i...
Emma Redhead, Timothy L. Bailey