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IJFCS
2006
130views more  IJFCS 2006»
14 years 11 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
PADL
2012
Springer
13 years 7 months ago
LearnPADS + + : Incremental Inference of Ad Hoc Data Formats
An ad hoc data source is any semi-structured, non-standard data source. The format of such data sources is often evolving and frequently lacking documentation. Consequently, off-t...
Kenny Qili Zhu, Kathleen Fisher, David Walker
ICMLA
2010
14 years 9 months ago
Smoothing Gene Expression Using Biological Networks
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi
ISCIS
2005
Springer
15 years 5 months ago
Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks
Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...
Zeki Erdem, Robi Polikar, Nejat Yumusak, Fikret S....
ICALT
2006
IEEE
15 years 5 months ago
Preparing Proprietary Systems for Continuous Education e-Learning for Inter-Operability: Exporting to SCORM
This document describes the procedure followed to prepare an existing framework for e-learning, to make the contents, produced during many years, exportable to a no proprietary st...
Victor Manso, Roberto Romero, Carlos Palau