2440 search results - page 171 / 488 » Learn .MT: A New Approach to Incremental Learning |
157
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AAAI
2006
15 years 8 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
157
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ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
A major limitation of Brain-Computer Interfaces (BCI) is their long calibration time, as much data from the user must be collected in order to tune the BCI for this target user. I...
175
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ACL
2008
15 years 8 months ago
2008
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often anno...
186
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EMNLP
2010
15 years 4 months ago
2010
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
183
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GECCO
2004
Springer
16 years 1 days ago
2004
Springer
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...