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» Boosting Methods for Regression
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154
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JMLR
2010
132views more  JMLR 2010»
14 years 10 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...
107
Voted
TIT
2010
125views Education» more  TIT 2010»
14 years 10 months ago
Target detection via network filtering
A method of `network filtering' has been proposed recently to detect the effects of certain external perturbations on the interacting members in a network. However, with larg...
Shu Yang, Eric D. Kolaczyk
165
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Fusing shape and texture information for facial age estimation
This paper presents a new human age estimation method by using multiple feature fusion via facial image analysis. Motivated by the fact that both shape and texture information of ...
Jiwen Lu, Yap-Peng Tan
151
Voted
ESEM
2007
ACM
15 years 7 months ago
The Effects of Over and Under Sampling on Fault-prone Module Detection
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, ...
142
Voted
CORR
2008
Springer
216views Education» more  CORR 2008»
15 years 3 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...