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ACCV
2009
Springer
15 years 4 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
ECTEL
2007
Springer
15 years 4 months ago
A Question Answering Service for Information Retrieval in Cooper
In Cooper, part of the student support will be provided by a Question Answering application in the form of a webservice. Question Answering allows a user to use the content of proj...
Bas Giesbers, Antonio Vincenzo Taddeo, Wim van der...
ICWE
2005
Springer
15 years 3 months ago
Automatic Optimization of Web Recommendations Using Feedback and Ontology Graphs
Abstract. Web recommendation systems have become a popular means to improve the usability of web sites. This paper describes the architecture of a rulebased recommendation system a...
Nick Golovin, Erhard Rahm
CEAS
2004
Springer
15 years 3 months ago
The Impact of Feature Selection on Signature-Driven Spam Detection
Signature-driven spam detection provides an alternative to machine learning approaches and can be very effective when near-duplicates of essentially the same message are sent in h...
Aleksander Kolcz, Abdur Chowdhury, Joshua Alspecto...
FLAIRS
2004
14 years 11 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