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» Learning Approximate Consistencies
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JMLR
2010
143views more  JMLR 2010»
15 years 29 days 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 8 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 11 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 7 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»
15 years 1 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