2103 search results - page 100 / 421 » Approximate Learning of Dynamic Models |
192
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BIOCOMP
2006
15 years 6 months ago
2006
Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
134
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ESANN
2003
2003
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
15 years 6 months ago
In this paper we extend a form of kernel ridge regression for data characterised by a heteroscedastic noise process (introduced in Foxall et al. [1]) in order to provide approxima...
155
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JIPS
2010
14 years 11 months ago
2010
In order to provide a tailored education for learners within the ubiquitous environment, it is critical to undertake an analysis of the learning activities of learners. For this pu...
165
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EMNLP
2009
15 years 2 months ago
2009
We present a machine translation framework that can incorporate arbitrary features of both input and output sentences. The core of the approach is a novel decoder based on lattice...
129
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NIPS
2007
15 years 6 months ago
2007
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...