2898 search results - page 402 / 580 » Ensemble Methods in Machine Learning |
124
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ICML
1997
IEEE
16 years 4 months ago
1997
IEEE
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
126
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ALT
2008
Springer
16 years 1 months ago
2008
Springer
In numerous application areas fast growing data sets develop with ever higher complexity and dynamics. A central challenge is to filter the substantial information and to communic...
107
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
We describe a novel framework for class noise mitigation that assigns a vector of class membership probabilities to each training instance, and uses the confidence on the current ...
127
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
154
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SAC
2006
ACM
15 years 10 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...