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» Boosting products of base classifiers
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ICONIP
2008
15 years 21 days ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
ICMCS
2006
IEEE
167views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Automatic Classification of Field of View in Video
Automatic systems are needed for audiovisual databases to efficiently index, browse, summarize and retrieve, because the amount of stored data is increasing tremendously. Historic...
Maria Ferrer, Mauro Barbieri, Hans Weda
ACL
2008
15 years 21 days ago
An Unsupervised Approach to Biography Production Using Wikipedia
We describe an unsupervised approach to multi-document sentence-extraction based summarization for the task of producing biographies. We utilize Wikipedia to automatically constru...
Fadi Biadsy, Julia Hirschberg, Elena Filatova
COGSCI
2011
115views more  COGSCI 2011»
14 years 2 months ago
A Computational Cognitive Model of Syntactic Priming
The psycholinguistic literature has identified two syntactic adaptation effects in language production: rapidly decaying short-term priming and long-lasting adaptation. To explai...
David Reitter, Frank Keller, Johanna D. Moore
AAAI
2008
15 years 1 months ago
Constraint Projections for Ensemble Learning
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods obtain diverse individual learners through res...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang ...