296 search results - page 22 / 60 » How to process uncertainty in machine learning |
128
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FSMNLP
2008
Springer
15 years 4 months ago
2008
Springer
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
125
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ECTEL
2008
Springer
15 years 5 months ago
2008
Springer
Abstract. Expressing generality, recognising and analysing patterns and articulating structure is a complex task and one that is invariably problematic for students. Nonetheless, v...
133
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NECO
2000
15 years 3 months ago
2000
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
135
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ICMLC
2010
Springer
15 years 1 months ago
2010
Springer
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
120
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...