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» Modeling Problem Transformations based on Data Complexity
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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
16 years 26 days ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
ECML
2001
Springer
15 years 11 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
204
Voted
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 7 months ago
Systematic data selection to mine concept-drifting data streams
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Wei Fan
COMSIS
2011
14 years 10 months ago
Ontology-based multi-label classification of economic articles
The paper presents an approach to the task of automatic document categorization in the field of economics. Since the documents can be annotated with multiple keywords (labels), we ...
Sergeja Vogrincic, Zoran Bosnic
BIOCOMP
2006
15 years 8 months ago
Membrane Remodeling and Diffusion of Cytochrome C from a Geometrically Idealized Mitochondrial Crista
In healthy eukaryotic cells, mitochondria have an outer membrane that surrounds a complex inner membrane structure [7,8]. Cytochrome c is found in the space between the two membra...
John Manor, Peter Salamon, James Nulton, Joseph Ma...