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SEMWEB
2010
Springer
13 years 6 months ago
2010
Springer
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
IJON
2006
13 years 9 months ago
2006
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
AIIA
2009
Springer
14 years 29 days ago
2009
Springer
Abstract. In this paper a novel framework for brain classification is proposed in the context of mental health research. A learning by example method is introduced by combining loc...
INFORMS
2007
13 years 8 months ago
2007
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...