2161 search results - page 102 / 433 » Learning to classify e-mail |
102
Voted
MLMTA
2003
15 years 2 months ago
2003
— This work shows comparatively the capacity of five Fuzzy Lattice Neurocomputing (FLN) classifiers. The mechanics of the five classifiers are illustrated geometrically on the pl...
99
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
109
Voted
ICML
2000
IEEE
16 years 1 months ago
2000
IEEE
We develop an intuitive geometric interpretation of the standard support vector machine (SVM) for classification of both linearly separable and inseparable data and provide a rigo...
129
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EPIA
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Robots need to ground their external vocabulary and internal symbols in observations of the world. In recent works, this problem has been approached through combinations ...
108
Voted
ECML
2004
Springer
15 years 4 months ago
2004
Springer
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...