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» Classification of Spreadsheet Errors
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KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 4 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
IBPRIA
2007
Springer
15 years 8 months ago
Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
Oleg Okun, Helen Priisalu
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 8 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
ISMB
2001
15 years 5 months ago
Molecular classification of multiple tumor types
Using gene expression data to classify tumor types is a very promising tool in cancer diagnosis. Previous works show several pairs of tumor types can be successfully distinguished...
Chen-Hsiang Yeang, Sridhar Ramaswamy, Pablo Tamayo...
CORR
2006
Springer
74views Education» more  CORR 2006»
15 years 4 months ago
PAC Classification based on PAC Estimates of Label Class Distributions
A standard approach in pattern classification is to estimate the distributions of the label classes, and then to apply the Bayes classifier to the estimates of the distributions in...
Nick Palmer, Paul W. Goldberg