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» Selection in the Presence of Noise
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IWANN
2001
Springer
15 years 2 months ago
A Penalization Criterion Based on Noise Behaviour for Model Selection
Complexity-penalization strategies are one way to decide on the most appropriate network size in order to address the trade-off between overfitted and underfitted models. In this p...
Joaquín Pizarro Junquera, Pedro Galindo Ria...
67
Voted
ETRA
2008
ACM
113views Biometrics» more  ETRA 2008»
14 years 11 months ago
Noise tolerant selection by gaze-controlled pan and zoom in 3D
Dan Witzner Hansen, Henrik H. T. Skovsgaard, John ...
AUTOMATICA
2002
61views more  AUTOMATICA 2002»
14 years 9 months ago
Modified AIC rule for model selection in combination with prior estimated noise models
Johan Schoukens, Yves Rolain, Rik Pintelon
NIPS
2004
14 years 11 months ago
Semi-supervised Learning via Gaussian Processes
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
Neil D. Lawrence, Michael I. Jordan
BIOINFORMATICS
2005
109views more  BIOINFORMATICS 2005»
14 years 9 months ago
Prediction error estimation: a comparison of resampling methods
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
Annette M. Molinaro, Richard Simon, Ruth M. Pfeiff...