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» Unsupervised feature selection using a neuro-fuzzy approach
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HAIS
2009
Springer
15 years 2 months ago
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
José Ramón Villar, María del ...
59
Voted
FSS
2002
68views more  FSS 2002»
14 years 9 months ago
Unsupervised feature extraction using neuro-fuzzy approach
The present article demonstrates a way of formulating a neuro-fuzzy approach for feature extraction under unsupervised training. A fuzzy feature evaluation index for a set of feat...
Rajat K. De, Jayanta Basak, Sankar K. Pal
ESANN
2007
14 years 11 months ago
A new feature selection scheme using data distribution factor for transactional data
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...
Piyang Wang, Tommy W. S. Chow
82
Voted
3DPVT
2004
IEEE
108views Visualization» more  3DPVT 2004»
15 years 1 months ago
Unsupervised Motion Classification by Means of Efficient Feature Selection and Tracking
This paper presents an efficient technique for human motion recognition; in particular, it is focused on labeling a movement as a walking or running displacement, which are the mo...
Angel Domingo Sappa, Niki Aifanti, Sotiris Malassi...
116
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EMNLP
2008
14 years 11 months ago
Selecting Sentences for Answering Complex Questions
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
Yllias Chali, Shafiq R. Joty