254 search results - page 39 / 51 » Multi-interval Discretization Methods for Decision Tree Lear... |
139
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JMLR
2008
15 years 4 months ago
2008
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
123
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ACSAC
2003
IEEE
15 years 9 months ago
2003
IEEE
Understanding the nature of the information flowing into and out of a system or network is fundamental to determining if there is adherence to a usage policy. Traditional methods...
204
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SAGA
2009
Springer
15 years 11 months ago
2009
Springer
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
134
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NN
2006
Springer
15 years 4 months ago
2006
Springer
In a number of engineering problems, e.g. in geotechnics, petroleum engineering, etc. intervals of measured series data (signals) are to be attributed a class maintaining the cons...
130
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...