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» Boosting Methods for Regression
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105
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MCS
2009
Springer
15 years 2 months ago
Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
Amir Ahmad, Gavin Brown
LREC
2008
105views Education» more  LREC 2008»
14 years 11 months ago
Combining Terminology Resources and Statistical Methods for Entity Recognition: an Evaluation
Terminologies and other knowledge resources are widely used to aid entity recognition in specialist domain texts. As well as providing lexicons of specialist terms, linkage from t...
Angus Roberts, Robert Gaizasukas, Mark Hepple, Yik...
ISCC
2007
IEEE
211views Communications» more  ISCC 2007»
15 years 4 months ago
High Performance Java Remote Method Invocation for Parallel Computing on Clusters
This paper presents a more efficient Java Remote Method Invocation (RMI) implementation for high-speed clusters. The use of Java for parallel programming on clusters is limited b...
Guillermo L. Taboada, Carlos Teijeiro, Juan Touri&...
107
Voted
BMCBI
2007
149views more  BMCBI 2007»
14 years 10 months ago
Robust imputation method for missing values in microarray data
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
Dankyu Yoon, Eun-Kyung Lee, Taesung Park
BMCBI
2007
134views more  BMCBI 2007»
14 years 10 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...