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» Unsupervised feature selection using a neuro-fuzzy approach
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ICIAR
2007
Springer
15 years 5 months ago
Automatic Closed Edge Detection Using Level Lines Selection
This paper presents a closed edge detection method based on a level lines selection approach. The proposed method is based on an unsupervised probabilistic scheme using an a contra...
Thomas Hurtut, Farida Cheriet
AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
15 years 5 months ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak
ISMIS
2011
Springer
14 years 2 months ago
Evaluation of Feature Combination Approaches for Text Categorisation
Text categorisation relies heavily on feature selection. Both the possible reduction in dimensionality as well as improvements in classification performance are highly desirable. ...
Robert Neumayer, Kjetil Nørvåg
CICLING
2007
Springer
15 years 5 months ago
A Competitive Term Selection Method for Information Retrieval
Term selection process is a very necessary component for most natural language processing tasks. Although different unsupervised techniques have been proposed, the best results ar...
Franco Rojas López, Héctor Jim&eacut...
EMNLP
2009
14 years 9 months ago
Improving Verb Clustering with Automatically Acquired Selectional Preferences
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
Lin Sun, Anna Korhonen