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» Dimensionality Reduction for Classification
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EWCBR
2006
Springer
15 years 7 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore
142
Voted
IJCNN
2000
IEEE
15 years 7 months ago
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Sander M. Bohte, Johannes A. La Poutré, Joo...
IAJIT
2008
127views more  IAJIT 2008»
15 years 3 months ago
A Customized Particle Swarm Optimization for Classification of Multispectral Imagery Based on Feature Fusion
: An attempt has been made in this paper to classify multispectral images using customized particle swam optimization. To reduce the time consumption due to increase in dimensional...
Venkatalakshmi Krishnan, Anisha Praisy, Mercy Shal...
127
Voted
ICML
2000
IEEE
16 years 4 months ago
Using Error-Correcting Codes for Text Classification
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
Rayid Ghani
MICCAI
2006
Springer
16 years 4 months ago
Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification
Abstract. This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multis...
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John G...