112 search results - page 6 / 23 » Statistical Learning of Arbitrary Computable Classifiers |
92
Voted
ICDAR
2009
IEEE
15 years 4 months ago
2009
IEEE
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
88
Voted
KDD
2005
ACM
15 years 10 months ago
2005
ACM
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
108
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ML
2000
ACM
14 years 9 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
72
Voted
JMLR
2002
14 years 9 months ago
2002
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
SAC
2010
ACM
14 years 4 months ago
2010
ACM
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...