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» Estimation in covariate-adjusted regression
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CORR
2006
Springer
105views Education» more  CORR 2006»
14 years 11 months ago
Generalization error bounds in semi-supervised classification under the cluster assumption
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
Philippe Rigollet
BMCBI
2007
215views more  BMCBI 2007»
14 years 11 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
ESEM
2007
ACM
15 years 3 months ago
Effort Prediction in Iterative Software Development Processes -- Incremental Versus Global Prediction Models
Estimation of development effort without imposing overhead on the project and the development team is of paramount importance for any software company. This study proposes a new e...
Pekka Abrahamsson, Raimund Moser, Witold Pedrycz, ...
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TIP
2008
113views more  TIP 2008»
14 years 11 months ago
Phase Local Approximation (PhaseLa) Technique for Phase Unwrap From Noisy Data
The local polynomial approximation (LPA) is a nonparametric regression technique with pointwise estimation in a sliding window. We apply the LPA of the argument of cos and sin in o...
Vladimir Katkovnik, Jaakko Astola, Karen O. Egiaza...
ESANN
2006
15 years 20 days ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...