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CORR
2010
Springer
168views Education» more  CORR 2010»
15 years 4 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva
AIME
2009
Springer
15 years 11 months 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...
ESANN
2007
15 years 8 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
SIGGRAPH
1995
ACM
15 years 10 months ago
A signal processing approach to fair surface design
In this paper we describe a new tool for interactive free-form fair surface design. By generalizing classical discrete Fourier analysis to two-dimensional discrete surface signals...
Gabriel Taubin
JHSN
2000
390views more  JHSN 2000»
15 years 6 months ago
Telemedicine: challenges and opportunities
Telemedicine is many things to many people. Only until a few years ago, telemedicine was equated to video teleconferencing between physicians, while nowadays, perhaps the most acti...
Sang-goo Lee, Seong K. Mun, Prakash Jha, Betty Ann...