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» Graph based multi-modality learning
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MLDM
2005
Springer
14 years 1 months ago
Multivariate Discretization by Recursive Supervised Bipartition of Graph
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
Sylvain Ferrandiz, Marc Boullé
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 8 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
IEEECIT
2009
IEEE
14 years 2 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
PCI
2001
Springer
14 years 1 days ago
A Knowledge Based Approach on Educational Metadata Use
One of the most rapidly evolving e-services is e-Learning, that is, the creation of advanced educational resources that are accessible on-line and, potentially, offer numerous adva...
Fotis Kokkoras, Demetrios G. Sampson, Ioannis P. V...
ICPR
2010
IEEE
13 years 9 months ago
Lipreading: A Graph Embedding Approach
In this paper, we propose a novel graph embedding method for the problem of lipreading. To characterize the temporal connections among video frames of the same utterance, a new di...
Ziheng Zhou, Guoying Zhao, Matti Pietikäinen