3204 search results - page 350 / 641 » Online Learning with Constraints |
152
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COLT
2005
Springer
16 years 7 days ago
2005
Springer
The paper deals with the following problem: is returning to wrong conjectures necessary to achieve full power of algorithmic learning? Returning to wrong conjectures complements t...
201
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KES
2005
Springer
16 years 6 days ago
2005
Springer
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
178
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WAPCV
2004
Springer
16 years 1 days ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
137
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ESANN
2008
15 years 8 months ago
2008
In this paper we define and address the problem of safe exploration in the context of reinforcement learning. Our notion of safety is concerned with states or transitions that can ...
169
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ACL
2003
15 years 8 months ago
2003
This paper presents a dependency language model (DLM) that captures linguistic constraints via a dependency structure, i.e., a set of probabilistic dependencies that express the r...