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SIGIR
2008
ACM
15 years 6 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
INFOCOM
2009
IEEE
16 years 1 months ago
Distributed Non-Autonomous Power Control through Distributed Convex Optimization
— We consider the uplink power control problem where mobile users in different cells are communicating with their base stations. We formulate the power control problem as the min...
Sundhar Srinivasan Ram, Venugopal V. Veeravalli, A...
WDAG
2007
Springer
127views Algorithms» more  WDAG 2007»
16 years 21 days ago
A Distributed Maximal Scheduler for Strong Fairness
Abstract. Weak fairness guarantees that if an action is continuously enabled, it is executed infinitely often. Strong fairness, on the other hand, guarantees that actions that are...
Matthew Lang, Paolo A. G. Sivilotti
ICWN
2004
15 years 8 months ago
A Distributed Clustering Framework in Mobile Ad Hoc Networks
Abstract-- In this paper, we present a completely distributed algorithm for partitioning a given set of mobile nodes into clusters. The proposed algorithm tries to reduce the amoun...
Mohit Garg, R. K. Shyamasundar
JMLR
2010
92views more  JMLR 2010»
15 years 1 months ago
Posterior distributions are computable from predictive distributions
As we devise more complicated prior distributions, will inference algorithms keep up? We highlight a negative result in computable probability theory by Ackerman, Freer, and Roy (...
Cameron E. Freer, Daniel M. Roy