1863 search results - page 271 / 373 » A supervised learning approach for imbalanced data sets |
181
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ESOP
2011
Springer
14 years 8 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
158
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KES
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...
137
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AAAI
1996
15 years 6 months ago
1996
Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classi er learning systems. Both form a set of classi ers t...
142
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LCN
2005
IEEE
15 years 10 months ago
2005
IEEE
The dynamic classification and identification of network applications responsible for network traffic flows offers substantial benefits to a number of key areas in IP network engi...
157
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CIVR
2006
Springer
15 years 8 months ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...