75 search results - page 6 / 15 » Model Selection in Omnivariate Decision Trees |
89
Voted
AUSAI
1999
Springer
15 years 4 months ago
1999
Springer
Model trees—decision trees with linear models at the leaf nodes—have recently emerged as an accurate method for numeric prediction that produces understandable models. However,...
133
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ESANN
2006
15 years 1 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
JCAMD
2010
14 years 10 months ago
2010
When we build a predictive model of a drug property we rigorously assess its predictive accuracy, but we are rarely able to address the most important question, “How useful will...
KDD
2004
ACM
16 years 2 days ago
2004
ACM
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
77
Voted
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
We propose to improve speech recognition performance on speaker-independent, mixed language speech by asymmetric acoustic modeling. Mixed language is either inter-sentential code ...