2918 search results - page 37 / 584 » Learning qualitative models from numerical data |
KDD
1995
ACM
13 years 11 months ago
1995
ACM
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
NAACL
2001
13 years 9 months ago
2001
We present two methods for learning the structure of personal names from unlabeled data. The first simply uses a few implicit constraints governing this structure to gain a toehol...
ICWL
2007
Springer
14 years 1 months ago
2007
Springer
This paper sets out the central problem of current blended learning research that it does not have an appropriate focus on educational theory. The blended learning praxis in higher...
JCAL
2002
13 years 7 months ago
2002
It has become increasingly important for educators to examine successful ICT implementations with the aim of understanding precisely what makes them successful in teaching and lear...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...