557 search results - page 79 / 112 » Learning programs from noisy data |
123
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QRE
2010
2010
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
15 years 28 days ago
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
150
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TMI
2002
15 years 2 months ago
2002
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
116
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ATAL
2007
Springer
15 years 8 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
137
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HPCN
1998
Springer
15 years 6 months ago
1998
Springer
We describe the Paraflow system for connecting heterogeneous computing services together into a flexible and efficient data-mining metacomputer. There are three levels of parallel...
124
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Most classification methods assume that the samples are drawn independently and identically from an unknown data generating distribution, yet this assumption is violated ...