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» Modeling GA Performance for Control Parameter Optimization
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NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 8 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
IEEEPACT
2008
IEEE
14 years 3 months ago
A tuning framework for software-managed memory hierarchies
Achieving good performance on a modern machine with a multi-level memory hierarchy, and in particular on a machine with software-managed memories, requires precise tuning of progr...
Manman Ren, Ji Young Park, Mike Houston, Alex Aike...
JMLR
2012
11 years 11 months ago
Deterministic Annealing for Semi-Supervised Structured Output Learning
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
ICRA
2008
IEEE
118views Robotics» more  ICRA 2008»
14 years 3 months ago
Enlarging regions of stable running with segmented legs
— In human and animal running spring-like leg behavior is found, and similar concepts have been demonstrated by various robotic systems in the past. In general, a spring-mass mod...
Juergen Rummel, Fumiya Iida, James Andrew Smith, A...
TWC
2010
13 years 3 months ago
On the Impact of Channel Estimation Errors on MAC Protocols for MIMO Ad Hoc Networks
In this paper, we evaluate the performance of a Medium Access Control (MAC) protocol for MIMO ad hoc networks under imperfect channel estimation. To this end, we also present an an...
Davide Chiarotto, Paolo Casari, Michele Zorzi