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NN
2006
Springer
114views Neural Networks» more  NN 2006»
13 years 9 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
INFOCOM
2010
IEEE
13 years 6 months ago
A Greedy Link Scheduler for Wireless Networks with Gaussian Multiple Access and Broadcast Channels
Information theoretic Broadcast Channels (BC) and Multiple Access Channels (MAC) enable a single node to transmit data simultaneously to multiple nodes, and multiple nodes to trans...
Arun Sridharan, Can Emre Koksal, Elif Uysal-Biyiko...
ISPD
2009
ACM
141views Hardware» more  ISPD 2009»
14 years 3 months ago
A faster approximation scheme for timing driven minimum cost layer assignment
As VLSI technology moves to the 65nm node and beyond, interconnect delay greatly limits the circuit performance. As a critical component in interconnect synthesis, layer assignmen...
Shiyan Hu, Zhuo Li, Charles J. Alpert
CP
2003
Springer
14 years 2 months ago
A SAT-Based Approach to Multiple Sequence Alignment
Multiple sequence alignment is a central problem in Bioinformatics. A known integer programming approach is to apply branch-and-cut to exponentially large graph-theoretic models. T...
Steven David Prestwich, Desmond G. Higgins, Orla O...
CVPR
2009
IEEE
14 years 7 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...