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» Learning Approximate Consistencies
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JMLR
2010
143views more  JMLR 2010»
14 years 11 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
ICCV
1999
IEEE
16 years 6 months ago
Fast Approximate Energy Minimization via Graph Cuts
In this paper we address the problem of minimizing a large class of energy functions that occur in early vision. The major restriction is that the energy function's smoothnes...
Yuri Boykov, Olga Veksler, Ramin Zabih
RTCSA
2003
IEEE
15 years 9 months ago
An Approximation Algorithm for Broadcast Scheduling in Heterogeneous Clusters
Network of workstation (NOW) is a cost-effective alternative to massively parallel supercomputers. As commercially available off-theshelf processors become cheaper and faster, it...
Pangfeng Liu, Da-Wei Wang, Yi-Heng Guo
LISA
2000
15 years 5 months ago
Tracing Anonymous Packets to Their Approximate Source
Most denial-of-service attacks are characterized by a flood of packets with random, apparently valid source addresses. These addresses are spoofed, created by a malicious program ...
Hal Burch, Bill Cheswick
CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
14 years 11 months ago
Optimal cross-layer wireless control policies using TD learning
We present an on-line crosslayer control technique to characterize and approximate optimal policies for wireless networks. Our approach combines network utility maximization and ad...
Sean P. Meyn, Wei Chen, Daniel O'Neill