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» Prediction of Ordinal Classes Using Regression Trees
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MICCAI
2010
Springer
13 years 5 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
INFORMATICALT
2008
122views more  INFORMATICALT 2008»
13 years 7 months ago
Modeling Phone Duration of Lithuanian by Classification and Regression Trees, using Very Large Speech Corpus
Classification and regression tree approach was used in this research to model phone duration of Lithuanian. 300 thousand samples of vowels and 400 thousand samples of consonants e...
Giedrius Norkevicius, Gailius Raskinis
ICDM
2010
IEEE
132views Data Mining» more  ICDM 2010»
13 years 5 months ago
Monotone Relabeling in Ordinal Classification
In many applications of data mining we know beforehand that the response variable should be increasing (or decreasing) in the attributes. Such relations between response and attrib...
Ad Feelders
IWPSE
2007
IEEE
14 years 1 months ago
Improving defect prediction using temporal features and non linear models
Predicting the defects in the next release of a large software system is a very valuable asset for the project manger to plan her resources. In this paper we argue that temporal f...
Abraham Bernstein, Jayalath Ekanayake, Martin Pinz...
RECOMB
2004
Springer
14 years 7 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...