2884 search results - page 32 / 577 » Evaluating learning algorithms and classifiers |
118
Voted
ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
We present an improved bound on the difference between training and test errors for voting classifiers. This improved averaging bound provides a theoretical justification for popu...
127
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GECCO
2006
Springer
15 years 7 months ago
2006
Springer
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
124
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AAI
2006
15 years 4 months ago
2006
Classification problems with uneven class distributions present several difficulties during the training as well as during the evaluation process of classifiers. A classification ...
118
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PCI
2005
Springer
15 years 9 months ago
2005
Springer
Nowadays, the number of protein sequences being stored in central protein databases from labs all over the world is constantly increasing. From these proteins only a fraction has b...
168
Voted
MCS
2005
Springer
15 years 9 months ago
2005
Springer
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...