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JMLR
2010
116views more  JMLR 2010»
15 years 1 months ago
Feature Selection, Association Rules Network and Theory Building
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
Sanjay Chawla
ICASSP
2009
IEEE
15 years 4 months ago
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
Marie-Jean Meurs, Fabrice Lefevre, Renato de Mori
ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 5 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
CEC
2008
IEEE
16 years 1 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...
ICNS
2008
IEEE
16 years 29 days ago
DiProNN: Distributed Programmable Network Node Architecture
The programmable network approach allows processing of passing user data in a network, which is highly suitable especially for multimedia streams processing. However, programming ...
Tomás Rebok