405 search results - page 25 / 81 » Binary Classification Trees for Multi-class Classification P... |
KAIS
2008
14 years 10 months ago
2008
Classical data mining algorithms implicitly assume complete access to all data, either in centralized or federated form. However, privacy and security concerns often prevent sharin...
HIS
2008
14 years 12 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
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TCBB
2010
14 years 5 months ago
2010
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
NIPS
2000
14 years 12 months ago
2000
Output coding is a general method for solving multiclass problems by reducing them to multiple binary classification problems. Previous research on output coding has employed, alm...
ICANN
2009
Springer
15 years 2 months ago
2009
Springer
In the paper a new measure of distance between events/observations in the pattern space is proposed and experimentally evaluated with the use of k-NN classifier in the context of b...