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182
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BMCBI
2005
15 years 7 months ago
2005
Background: The currently used kth order Markov models estimate the probability of generating a single nucleotide conditional upon the immediately preceding (gap = 0) k units. How...
175
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NECO
2002
15 years 6 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
202
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GI
2009
Springer
15 years 5 months ago
2009
Springer
Abstract: Today's trend in software and system engineering is to utilize more specialized models. This model-based development approach makes a single engineering task more ea...
233
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ACL
2012
13 years 9 months ago
2012
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
151
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ICIP
1994
IEEE
16 years 8 months ago
1994
IEEE
Classical models for motion detection with artificial neural networks are inspired in physiological data of simple visual systems. Local speed estimationis a problem that involves...