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» Discovering Classification from Data of Multiple Sources
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JIFS
2002
134views more  JIFS 2002»
13 years 7 months ago
Classification of gene expression data using fuzzy logic
Microarray technologies have allowed the measurement of expression of multiple genes simultaneously. Gene expression levels can be used to classify tissues into diagnostic or progn...
Lucila Ohno-Machado, Staal A. Vinterbo, Griffin We...
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
IASSE
2003
13 years 9 months ago
An Intelligent System for Seismic Source Localization
In a stationary sensor situation, locating signals arriving from different directions can be achieved by using multiple sensors placed at different locations. Different methods fo...
Ramzi W. Elkhater, Evangelos A. Yfantis, John Istl...
ESANN
2000
13 years 9 months ago
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
FSKD
2006
Springer
124views Fuzzy Logic» more  FSKD 2006»
13 years 11 months ago
An Effective Combination of Multiple Classifiers for Toxicity Prediction
This paper presents an investigation into the combination of different classifiers for toxicity prediction. These classification methods involved in generating classifiers for comb...
Gongde Guo, Daniel Neagu, Xuming Huang, Yaxin Bi