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» Data selection for support vector machine classifiers
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GLOBECOM
2008
IEEE
15 years 4 months ago
Support Vector Machines and Random Forests Modeling for Spam Senders Behavior Analysis
— Unwanted and malicious messages dominate Email traffic and pose a great threat to the utility of email communications. Reputation systems have been getting momentum as the sol...
Yuchun Tang, Sven Krasser, Yuanchen He, Weilai Yan...
ICCV
2007
IEEE
14 years 11 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
NIPS
2003
14 years 11 months ago
Phonetic Speaker Recognition with Support Vector Machines
A recent area of significant progress in speaker recognition is the use of high level features—idiolect, phonetic relations, prosody, discourse structure, etc. A speaker not on...
William M. Campbell, Joseph P. Campbell, Douglas A...
WWW
2005
ACM
15 years 10 months ago
A comprehensive comparative study on term weighting schemes for text categorization with support vector machines
Term weighting scheme, which has been used to convert the documents as vectors in the term space, is a vital step in automatic text categorization. In this paper, we conducted com...
Man Lan, Chew Lim Tan, Hwee-Boon Low, Sam Yuan Sun...
SIGIR
2008
ACM
14 years 9 months ago
Semi-supervised spam filtering: does it work?
The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
Mona Mojdeh, Gordon V. Cormack