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» Unsupervised Classifier Selection Based on Two-Sample Test
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SEBD
2008
177views Database» more  SEBD 2008»
13 years 6 months ago
Using PageRank in Feature Selection
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
Dino Ienco, Rosa Meo, Marco Botta
FLAIRS
2001
13 years 6 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...
ICPR
2004
IEEE
14 years 6 months ago
Serialized Unsupervised Classifier for Adaptative Color Image Segmentation: Application to Digitized Ancient Manuscripts
This paper presents an adaptative algorithm for the segmentation of color images suited for document image analysis. The algorithm is based on a serialization of the k-means algor...
Frank Le Bourgeois, Hubert Emptoz, Yann Leydier
CATA
2009
13 years 6 months ago
Nearest Shrunken Centroid as Feature Selection of Microarray Data
The nearest shrunken centroid classifier uses shrunken centroids as prototypes for each class and test samples are classified to belong to the class whose shrunken centroid is nea...
Myungsook Klassen, Nyunsu Kim
ACL
2006
13 years 6 months ago
An Equivalent Pseudoword Solution to Chinese Word Sense Disambiguation
This paper presents a new approach based on Equivalent Pseudowords (EPs) to tackle Word Sense Disambiguation (WSD) in Chinese language. EPs are particular artificial ambiguous wor...
Zhimao Lu, Haifeng Wang, Jianmin Yao, Ting Liu, Sh...