1012 search results - page 50 / 203 » A Learning Classifier Approach to Tomography |
174
Voted
SIGMOD
2006
ACM
16 years 22 days ago
2006
ACM
As data streams are gaining prominence in a growing number of emerging application domains, classification on data streams is becoming an active research area. Currently, the typi...
139
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
107
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FUIN
2002
15 years 10 days ago
2002
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
100
Voted
CICLING
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. We propose to use semi-supervised learning methods to classify evaluative expressions, that is, tuples of subjects, their attributes, and evaluative words, that indicate ...
135
Voted
CLEF
2011
Springer
14 years 12 days ago
2011
Springer
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...