890 search results - page 25 / 178 » Large Scale Online Learning |
130
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CORR
2011
Springer
14 years 9 months ago
2011
Springer
There have been several recent advancements in Machine Learning community on the Entity Matching (EM) problem. However, their lack of scalability has prevented them from being app...
110
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NIPS
2001
15 years 3 months ago
2001
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
123
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INFORMATICALT
2011
14 years 8 months ago
2011
Estimation and modelling problems as they arise in many data analysis areas often turn out to be unstable and/or intractable by standard numerical methods. Such problems frequently...
116
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ISTA
2003
15 years 3 months ago
2003
: A growing number of universities and companies are now becoming focused on promoting learning that is not merely instrumental. These aspirations refer to deep learning, transform...
198
Voted
CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...