266 search results - page 19 / 54 » Is Combining Classifiers Better than Selecting the Best One |
SIGIR
2006
ACM
15 years 3 months ago
2006
ACM
We show that a set of independently developed spam filters may be combined in simple ways to provide substantially better filtering than any of the individual filters. The resu...
JMLR
2008
14 years 9 months ago
2008
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
LREC
2010
14 years 11 months ago
2010
In the POS tagging task, there are two kinds of statistical models: one is generative model, such as the HMM, the others are discriminative models, such as the Maximum Entropy Mod...
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KDD
2008
ACM
15 years 10 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
ESANN
2008
14 years 11 months ago
2008
We propose an original automatic alignment of definitions taken from different dictionaries that could be associated to the same concept although they may have different labels. Th...