1859 search results - page 329 / 372 » Using Problems to Learn Service-Oriented Computing |
186
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PKDD
2010
Springer
15 years 14 days ago
2010
Springer
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
110
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ACL
2009
15 years 12 days ago
2009
This paper revisits the pivot language approach for machine translation. First, we investigate three different methods for pivot translation. Then we employ a hybrid method combin...
126
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ACL
2009
15 years 12 days ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
105
Voted
IC3
2009
15 years 10 days ago
2009
A number of algorithms and approaches have been proposed towards the problem of scanning and digitizing research papers. We can classify work done in the past into three major appr...
222
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NECO
2011
14 years 9 months ago
2011
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...