2103 search results - page 66 / 421 » Approximate Learning of Dynamic Models |
104
Voted
AIED
2007
Springer
15 years 8 months ago
2007
Springer
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
130
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-d...
123
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
103
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ICMLA
2007
15 years 4 months ago
2007
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
133
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ICONIP
2007
15 years 4 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...