874 search results - page 50 / 175 » Iterative Learning Control - Monotonicity and Optimization |
NIPS
2008
14 years 11 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
NIPS
2004
14 years 11 months ago
2004
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
ICNC
2009
Springer
15 years 4 months ago
2009
Springer
A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot. S-learning demonstrated learni...
ICDCS
2007
IEEE
15 years 4 months ago
2007
IEEE
A fundamental problem in a large scale decentralized stream processing system is how to best utilize the available resources and admission control the bursty and high volume input...
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SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
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...