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65
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LREC
2008
65views Education» more  LREC 2008»
15 years 4 months ago
A Three-stage Disfluency Classifier for Multi Party Dialogues
We present work on a three-stage system to detect and classify disfluencies in multi party dialogues. The system consists of a regular expression based module and two machine lear...
Margot Mieskes, Michael Strube
104
Voted
ICML
2009
IEEE
16 years 3 months ago
Domain adaptation from multiple sources via auxiliary classifiers
We propose a multiple source domain adaptation method, referred to as Domain Adaptation Machine (DAM), to learn a robust decision function (referred to as target classifier) for l...
Lixin Duan, Ivor W. Tsang, Dong Xu, Tat-Seng Chua
112
Voted
ICMLA
2009
15 years 8 days ago
An Ordinal Data Method for the Classification with Reject Option
In this work we consider the problem of binary classification where the classifier may abstain instead of classifying each observation, leaving the critical items for human evaluat...
Ricardo Sousa, Beatriz Mora, Jaime S. Cardoso
102
Voted
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
15 years 6 months ago
Support vector regression for classifier prediction
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
148
Voted
ECML
1991
Springer
15 years 6 months ago
Semi-Naive Bayesian Classifier
1 A novel semi-naive Bayesian classifier is introduced that is particularly suitable to data with many attributes. The naive Bayesian classifier is taken as a starting point and co...
Igor Kononenko