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» Approximate algorithms for neural-Bayesian approaches
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COR
2008
112views more  COR 2008»
14 years 10 months ago
Buffer allocation in general single-server queueing networks
-- The optimal buffer allocation in queueing network systems is a difficult stochastic, non-linear, integer mathematical programming problem. Moreover, the objective function, the ...
Frederico R. B. Cruz, A. R. Duarte, Tom Van Woense...
NECO
2008
112views more  NECO 2008»
14 years 10 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel
CAD
2007
Springer
14 years 10 months ago
Boundary of the volume swept by a free-form solid in screw motion
The swept volume of a moving solid is a powerful computational and visualization concept. It provides an excellent aid for path and accessibility planning in robotics and for simu...
Jarek Rossignac, J. J. Kim, S. C. Song, K. C. Suh,...
AAAI
2007
15 years 8 days ago
Anytime Coordination Using Separable Bilinear Programs
Developing scalable coordination algorithms for multi-agent systems is a hard computational challenge. One useful approach, demonstrated by the Coverage Set Algorithm (CSA), explo...
Marek Petrik, Shlomo Zilberstein
FPL
2004
Springer
103views Hardware» more  FPL 2004»
15 years 3 months ago
Automating Optimized Table-with-Polynomial Function Evaluation for FPGAs
Abstract. Function evaluation is at the core of many compute-intensive applications which perform well on reconfigurable platforms. Yet, in order to implement function evaluation ...
Dong-U Lee, Oskar Mencer, David J. Pearce, Wayne L...