359 search results - page 25 / 72 » A Constrained Semi-supervised Learning Approach to Data Asso... |
EDM
2010
13 years 9 months ago
2010
In this paper we utilising some popular educational data mining (EDM) methods to explore and mine educational data resulted from a system that supports reflection for learning call...
ESSMAC
2003
Springer
14 years 27 days ago
2003
Springer
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
DAWAK
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
DEXA
2008
Springer
13 years 9 months ago
2008
Springer
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, t...