509 search results - page 49 / 102 » Using Learning for Approximation in Stochastic Processes |
175
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JMLR
2010
14 years 9 months ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
SDM
2007
SIAM
15 years 3 months ago
2007
SIAM
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
145
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CDC
2010
IEEE
14 years 9 months ago
2010
IEEE
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
149
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AI
2006
Springer
15 years 2 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
154
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...