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» Generating Seeded Trees from Data Sets
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BMCBI
2006
200views more  BMCBI 2006»
14 years 12 months ago
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
Ian B. Jeffery, Desmond G. Higgins, Aedín C...
KDD
2001
ACM
142views Data Mining» more  KDD 2001»
16 years 5 days ago
TreeDT: gene mapping by tree disequilibrium test
We introduce and evaluate TreeDT, a novel gene mapping method which is based on discovering and assessing tree-like patterns in genetic marker data. Gene mapping aims at discoveri...
Petteri Sevon, Hannu Toivonen, Vesa Ollikainen
IDA
2010
Springer
15 years 1 months ago
Oracle Coached Decision Trees and Lists
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
CASES
2000
ACM
15 years 4 months ago
A code generation framework for Java component-based designs
In this paper, we describe a software architecture supporting code generation from within Ptolemy II. Ptolemy II is a componentbased design tool intended for embedded and real-tim...
Jeff Tsay, Christopher Hylands, Edward Lee
ICIAP
2009
ACM
16 years 11 days ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...