76 search results - page 9 / 16 » Flexible Learning - Maximising Flexibility in a Subject with... |
JMLR
2010
13 years 2 months ago
2010
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
The implementation of software systems with large numbers of heterogeneous components calls for a powerful design methodology. Although several such methodologies have been propos...
TMI
2002
13 years 7 months ago
2002
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...