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FLAIRS
2004
15 years 3 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
ARGMAS
2009
Springer
15 years 8 months ago
Multi-Party Argument from Experience
Abstract. A framework, PISA, for conducting dialogues to resolve disputes concerning the correct categorisation of particular cases, is described. Unlike previous systems to conduc...
Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coene...
IEAAIE
2009
Springer
15 years 8 months ago
Robust Singular Spectrum Transform
Change Point Discovery is a basic algorithm needed in many time series mining applications including rule discovery, motif discovery, casual analysis, etc. Several techniques for c...
Yasser F. O. Mohammad, Toyoaki Nishida
ICTAI
2007
IEEE
15 years 8 months ago
Prediction of Cerebral Aneurysm Rupture
Cerebral aneurysms are weak or thin spots on blood vessels in the brain that balloon out. While the majority of aneurysms do not burst, those that do would lead to serious complic...
Qiangfeng Peter Lau, Wynne Hsu, Mong-Li Lee, Ying ...
AI
2007
Springer
15 years 7 months ago
Constructing a User Preference Ontology for Anti-spam Mail Systems
The judgment that whether an email is spam or non-spam may vary from person to person. Different individuals can have totally different responses to the same email based on their p...
Jongwan Kim, Dejing Dou, Haishan Liu, Donghwi Kwak