221 search results - page 36 / 45 » A Linear Decision-Based Approximation Approach to Stochastic... |
101
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MP
2007
14 years 9 months ago
2007
We consider machine scheduling on unrelated parallel machines with the objective to minimize the schedule makespan. We assume that, in addition to its machine dependence, the proce...
JMLR
2011
14 years 4 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
114
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JMLR
2012
12 years 12 months ago
2012
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
AUTOMATICA
2004
14 years 9 months ago
2004
A fundamental problem in the simulation and control of complex physical systems containing distributed-parameter components concerns finite-dimensional approximation. Numerical me...
ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...