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109
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NN
2006
Springer
14 years 11 months ago
2006
Springer
The paper deals with the concept of relevance learning in learning vector quantization and classification. Recent machine learning approaches with the ability of metric adaptation...
119
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IFIP12
2008
15 years 1 months ago
2008
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
KDD
2004
ACM
16 years 5 days ago
2004
ACM
ICALT
2009
IEEE
15 years 6 months ago
2009
IEEE
This paper reports developments on a best description template for teaching methods, whose descriptive elements will eventually be mapped to the elements of the IMS Learning Desig...
EDM
2008
15 years 1 months ago
2008
We compare the purposes, inputs, representations, and assumptions of three methods to evaluate the fine-grained interactions of intelligent tutors with their students. One method i...