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» A New Indexing Method for High Dimensional Dataset
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129
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BMCBI
2006
146views more  BMCBI 2006»
15 years 24 days ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
111
Voted
DEXA
1999
Springer
181views Database» more  DEXA 1999»
15 years 5 months ago
Combining Pat-Trees and Signature Files for Query Evaluation in Document Databases
In this paper, a new indexing technique to support the query evaluation in document databases is proposed. The key idea of the method is the combination of the technique of pat-tre...
Yangjun Chen, Karl Aberer
ICTAI
2007
IEEE
15 years 7 months ago
Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
George Tzanis, Ioannis P. Vlahavas
104
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PAKDD
2005
ACM
120views Data Mining» more  PAKDD 2005»
15 years 6 months ago
Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
Mirco Nanni
EVOW
2006
Springer
15 years 4 months ago
A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
Edmundo Bonilla Huerta, Béatrice Duval, Jin...