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» Classification of integral lattices with large class number
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ICML
2000
IEEE
14 years 9 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
BMCBI
2010
164views more  BMCBI 2010»
13 years 5 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
PAA
2002
13 years 8 months ago
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
DMIN
2009
195views Data Mining» more  DMIN 2009»
13 years 6 months ago
Improved k-NN Algorithm for Text Classification
- Over the last twenty years, text classification has become one of the key techniques for organizing electronic information such as text and web documents. The k-Nearest Neighbor ...
Muhammed Miah
ECCV
2008
Springer
14 years 10 months ago
Constructing Category Hierarchies for Visual Recognition
Abstract. Class hierarchies are commonly used to reduce the complexity of the classification problem. This is crucial when dealing with a large number of categories. In this work, ...
Marcin Marszalek, Cordelia Schmid