2884 search results - page 167 / 577 » Evaluating learning algorithms and classifiers |
129
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
137
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QSHINE
2005
IEEE
15 years 10 months ago
2005
IEEE
This paper presents two new layer 4 fairness measures, the worst case TCP fairness index and the TCP fairness index. The purpose of the two indices is to measure the performance o...
120
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
In this paper, we provide an algorithm that systematically considers all small trees in the search space of genetic programming. These small trees are used to generate useful subr...
157
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GECCO
2003
Springer
15 years 9 months ago
2003
Springer
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
128
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ICML
1999
IEEE
16 years 5 months ago
1999
IEEE
Before applying learning algorithms to datasets, practitioners often globally discretize any numeric attributes. If the algorithm cannot handle numeric attributes directly, prior ...