75 search results - page 10 / 15 » Decision making under incomplete data using the imprecise Di... |
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PKDD
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
ICDT
2010
ACM
15 years 9 months ago
2010
ACM
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
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CORR
2011
Springer
14 years 6 months ago
2011
Springer
We introduce streaming tree transducers as an analyzable and expressive model for transforming hierarchically structured data in a single pass. Given a linear encoding of the inpu...
HICSS
2005
IEEE
15 years 5 months ago
2005
IEEE
Expert systems are originally designed to generate feasible alternatives in automated manner. The users expect the systems to contribute to make decisions proactively and intellig...
ICMLA
2009
14 years 9 months ago
2009
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...