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AUSAI
2008
Springer
15 years 1 months ago
Practical Bias Variance Decomposition
Abstract. Bias variance decomposition for classifiers is a useful tool in understanding classifier behavior. Unfortunately, the literature does not provide consistent guidelines on...
Remco R. Bouckaert
LREC
2008
149views Education» more  LREC 2008»
15 years 1 months ago
Cross-Domain Dialogue Act Tagging
We present recent work in the area of Cross-Domain Dialogue Act (DA) tagging. We have previously reported on the use of a simple dialogue act classifier based on purely intra-utte...
Nick Webb, Ting Liu, Mark Hepple, Yorick Wilks
FLAIRS
2006
15 years 1 months ago
Using Validation Sets to Avoid Overfitting in AdaBoost
AdaBoost is a well known, effective technique for increasing the accuracy of learning algorithms. However, it has the potential to overfit the training set because its objective i...
Tom Bylander, Lisa Tate
ESWA
2007
117views more  ESWA 2007»
14 years 11 months ago
An HMM for detecting spam mail
Hidden Markov Models, or HMMs for short, have been recently used in Bioinformatics for the classification of DNA or protein chains, giving rise to what is known as Profile Hidde...
José Gordillo, Eduardo Conde
ACL
2010
14 years 10 months ago
It Makes Sense: A Wide-Coverage Word Sense Disambiguation System for Free Text
Word sense disambiguation (WSD) systems based on supervised learning achieved the best performance in SensEval and SemEval workshops. However, there are few publicly available ope...
Zhi Zhong, Hwee Tou Ng