2252 search results - page 22 / 451 » A distributed machine learning framework |
137
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COLCOM
2005
IEEE
15 years 5 months ago
2005
IEEE
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
72
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KDD
1995
ACM
15 years 3 months ago
1995
ACM
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
ICML
2009
IEEE
16 years 17 days ago
2009
IEEE
We propose an importance weighting framework for actively labeling samples. This technique yields practical yet sound active learning algorithms for general loss functions. Experi...
153
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EMNLP
2011
13 years 11 months ago
2011
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
101
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ECML
2007
Springer
15 years 6 months ago
2007
Springer
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...