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ICPR
2002
IEEE
14 years 8 months ago
Classification Using a Hierarchical Bayesian Approach
A key problem faced by classifiers is coping with styles not represented in the training set. We present an application of hierarchical Bayesian methods to the problem of recogniz...
Charles Mathis, Thomas M. Breuel
CORR
2000
Springer
84views Education» more  CORR 2000»
13 years 7 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
KDD
2009
ACM
170views Data Mining» more  KDD 2009»
14 years 8 months ago
Genre-based decomposition of email class noise
Corruption of data by class-label noise is an important practical concern impacting many classification problems. Studies of data cleaning techniques often assume a uniform label ...
Aleksander Kolcz, Gordon V. Cormack
ACL
2003
13 years 9 months ago
Clustering Polysemic Subcategorization Frame Distributions Semantically
Previous research has demonstrated the utility of clustering in inducing semantic verb classes from undisambiguated corpus data. We describe a new approach which involves clusteri...
Anna Korhonen, Yuval Krymolowski, Zvika Marx
FINTAL
2006
13 years 11 months ago
Incorporating External Information in Bayesian Classifiers Via Linear Feature Transformations
Naive Bayes classifier is a frequently used method in various natural language processing tasks. Inspired by a modified version of the method called the flexible Bayes classifier, ...
Tapio Pahikkala, Jorma Boberg, Aleksandr Myllä...