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ALT
2006
Springer
16 years 4 months ago
Unsupervised Slow Subspace-Learning from Stationary Processes
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...
Andreas Maurer
ICML
2009
IEEE
16 years 1 months ago
Rule learning with monotonicity constraints
In classification with monotonicity constraints, it is assumed that the class label should increase with increasing values on the attributes. In this paper we aim at formalizing ...
Wojciech Kotlowski, Roman Slowinski
ICALT
2008
IEEE
16 years 1 months ago
A Study on Personality in Designing Adaptive e-Learning Systems
The aim of this study is to understand how learners with different personality respond to an e-learning content structure, by which it will help to build an instance of personalit...
Amal Al-Dujaily, Hokyoung Ryu
AIED
2005
Springer
16 years 21 days ago
Formation of Learning Groups by using Learner Profiles and Context Information
An important but often neglected aspect in Computer Supported Collaborative Learning is the intelligent formation of learning groups. Until recently, support for group formation wa...
Martin Muehlenbrock
ICNC
2005
Springer
16 years 20 days ago
An Incremental Learning Method Based on SVM for Online Sketchy Shape Recognition
This paper presents briefly an incremental learning method based on SVM for online sketchy shape recognition. It can collect all classified results corrected by user and select som...
Zhengxing Sun, Lisha Zhang, Enyi Tang