719 search results - page 127 / 144 » Data Mining Application in Higher Learning Institutions |
CIDM
2009
IEEE
14 years 21 days ago
2009
IEEE
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
ADBIS
2003
Springer
14 years 1 months ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...