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» Response modeling with support vector machines
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ICANN
2009
Springer
14 years 7 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
PRL
2008
118views more  PRL 2008»
14 years 9 months ago
Bayes Machines for binary classification
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
Daniel Hernández-Lobato, José Miguel...
JMLR
2010
152views more  JMLR 2010»
14 years 4 months ago
The SHOGUN Machine Learning Toolbox
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Sören Sonnenburg, Gunnar Rätsch, Sebasti...
AMAI
2004
Springer
15 years 3 months ago
Biased Minimax Probability Machine for Medical Diagnosis
The Minimax Probability Machine (MPM) constructs a classifier, which provides a worst-case bound on the probability of misclassification of future data points based on reliable ...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
NSDI
2008
15 years 5 hour ago
Ghost Turns Zombie: Exploring the Life Cycle of Web-based Malware
While the web provides information and services that enrich our lives in many ways, it has also become the primary vehicle for delivering malware. Once infected with web-based mal...
Michalis Polychronakis, Niels Provos