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ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 2 months ago
Prediction of Skin Penetration Using Machine Learning Methods
Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug deliv...
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams...
EUROSSC
2008
Springer
13 years 9 months ago
Gaussian Process Person Identifier Based on Simple Floor Sensors
Abstract. This paper describes methods and sensor technology used to identify persons from their walking characteristics. We use an array of simple binary switch floor sensors to d...
Jaakko Suutala, Kaori Fujinami, Juha Röning
ICML
2004
IEEE
14 years 1 months ago
Learning to learn with the informative vector machine
This paper describes an ecient method for learning the parameters of a Gaussian process (GP). The parameters are learned from multiple tasks which are assumed to have been drawn ...
Neil D. Lawrence, John C. Platt
AIME
2009
Springer
14 years 7 days ago
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
Steven Ganzert, Stefan Kramer, Knut Möller, D...
ML
2002
ACM
140views Machine Learning» more  ML 2002»
13 years 7 months ago
A Probabilistic Framework for SVM Regression and Error Bar Estimation
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...
Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin...