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FUZZIEEE
2007
IEEE
16 years 25 days ago
A Feature Selection Method Based on Choquet Integral and Typicality Analysis
— An iterative feature selection method based on feature typicality and interactivity analysis is presented in this paper. The aim is to enhance model interpretability by selecti...
Cyril Mazaud, Jan Rendek, Vincent Bombardier, Laur...
CONTEXT
2005
Springer
16 years 1 days ago
A Quantitative Categorization of Phonemic Dialect Features in Context
We test a method of clustering dialects of English according to patterns of shared phonological features. Previous linguistic research has generally considered phonological feature...
Naomi Nagy, Xiaoli Zhang, George Nagy, Edgar W. Sc...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
16 years 14 hour ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
ISMIR
2004
Springer
113views Music» more  ISMIR 2004»
15 years 12 months ago
Audio Features for Noisy Sound Segmentation
Automatic audio classification usually considers sounds as music, speech, silence or noise, but works about the noise class are rare. Audio features are generally specific to sp...
Pierre Hanna, Nicolas Louis, Myriam Desainte-Cathe...
ISBI
2004
IEEE
16 years 7 months ago
Controling The False Positive Detection Rate In Fuzzy Clustering of fMRI Data
Despite its potential advantages for fMRI analysis, fuzzy C-means (FCM) clustering suffers from limitations such as the need for a priori knowledge of the number of clusters, and ...
Hesamoddin Jahanian, Hamid Soltanian-Zadeh, Gholam...