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132
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AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
15 years 6 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang
BMCBI
2006
96views more  BMCBI 2006»
15 years 2 months ago
Individualized markers optimize class prediction of microarray data
Background: Identification of molecular markers for the classification of microarray data is a challenging task. Despite the evident dissimilarity in various characteristics of bi...
Pavlos Pavlidis, Panayiota Poirazi
118
Voted
COMBINATORICS
2000
82views more  COMBINATORICS 2000»
15 years 2 months ago
The Strongly Regular (40, 12, 2, 4) Graphs
In a previous paper it was established that there are at least 27 non-isomorphic strongly regular (40, 12, 2, 4) graphs. Using a different and more efficient method we have re-inv...
Edward Spence
134
Voted
AAAI
2008
15 years 5 months ago
An Effective and Robust Method for Short Text Classification
Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
Victoria Bobicev, Marina Sokolova
195
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BMCBI
2006
198views more  BMCBI 2006»
15 years 2 months ago
Gene selection and classification of microarray data using random forest
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
Ramón Díaz-Uriarte, Sara Alvarez de ...