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ICML
2000
IEEE
14 years 9 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
ITC
1991
IEEE
80views Hardware» more  ITC 1991»
14 years 12 days ago
An Intelligent Approach to Automatic Test Equipment
In diagnosing a failed system, a smart technician would choose tests to be performed based on the context of the situation. Currently, test program sets do not fault-. isolate wit...
William R. Simpson, John W. Sheppard
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
14 years 6 days ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
BIOID
2008
103views Biometrics» more  BIOID 2008»
13 years 11 months ago
Promoting Diversity in Gaussian Mixture Ensembles: An Application to Signature Verification
Abstract. Classifiers based on Gaussian mixture models are good performers in many pattern recognition tasks. Unlike decision trees, they can be described as stable classifier: a s...
Jonas Richiardi, Andrzej Drygajlo, Laetitia Todesc...
CLIN
2003
13 years 10 months ago
On the Statistical Consistency of DOP Estimators
A statistical estimator attempts to guess an unknown probability distribution by analyzing a sample from this distribution. One desirable property of an estimator is that its gues...
Detlef Prescher, Remko Scha, Khalil Sima'an, Andre...