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FLAIRS
2008
13 years 11 months ago
Machine Learning to Predict the Incidence of Retinopathy of Prematurity
Retinopathy of Prematurity (ROP) is a disorder afflicting prematurely born infants. ROP can be positively diagnosed a few weeks after birth. The goal of this study is to build an ...
Aniket Ray, Vikas Kumar, Balaraman Ravindran, Ling...
IJON
2007
79views more  IJON 2007»
13 years 8 months ago
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two co
An adaptive Exponential Integrate-and-Fire (aEIF) model was used to predict the activity of layer-V-pyramidal neurons of rat neocortex under random current injection. A new protoc...
Claudia Clopath, Renaud Jolivet, Alexander Rauch, ...
AUTOMATICA
2010
98views more  AUTOMATICA 2010»
13 years 8 months ago
Explicit use of probabilistic distributions in linear predictive control
: The guarantee of feasibility given feasibility at initial time is an issue that has been overlooked by many of the recent papers on stochastic model predictive control. Effective...
Basil Kouvaritakis, Mark Cannon, Sasa V. Rakovic, ...
IPCV
2010
13 years 6 months ago
Wavelet-based Prediction Measures for Lossy Image Set Compression
A number of image set compression algorithms have been proposed in the literature. A key component of these algorithms is a numeric measure used to quantify how similar two images ...
Marc Moreau, Howard Cheng
ICML
2004
IEEE
14 years 9 months ago
A graphical model for protein secondary structure prediction
In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...
Wei Chu, Zoubin Ghahramani, David L. Wild