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» Dimensions of machine learning in design
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ICMLA
2010
13 years 5 months ago
A New Approach to Classification with the Least Number of Features
Recently, the so-called Support Feature Machine (SFM) was proposed as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separati...
Sascha Klement, Thomas Martinetz
AIED
2007
Springer
14 years 1 months ago
Using Machine Learning Techniques to Analyze and Support Mediation of Student E-Discussions
Students are starting to use networked visual argumentation tools to discuss, debate, and argue with one another about topics presented by a teacher. However, this development give...
Bruce M. McLaren, Oliver Scheuer, Maarten De Laat,...
ICML
2004
IEEE
14 years 8 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
ECTEL
2007
Springer
14 years 1 months ago
Model-Driven Design of VoIP Services for E-Learning
Project-centered learning increasingly demands for communication tools to enhance learners’ virtual interaction. In the context of the COOPER EU project a
Nicola Aste, Aldo Bongio, Stefano Ceri, Marco Fais...
ALT
2006
Springer
14 years 4 months ago
How Many Query Superpositions Are Needed to Learn?
Abstract. This paper introduces a framework for quantum exact learning via queries, the so-called quantum protocol. It is shown that usual protocols in the classical learning setti...
Jorge Castro