Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Primer approximation multiplex PCR (PAMP) is a new experimental protocol for efficiently assaying structural variation in genomes. PAMP is particularly suited to cancer genomes w...
Ali Bashir, Yu-Tsueng Liu, Benjamin J. Raphael, De...
We present a novel approach for solving different design problems related to single products in multipurpose batch plants: the selection of one production line out of several avai...
Andrej Mosat, Laurent Cavin, Ulrich Fischer 0002, ...
System identification of plants with binary-valued output observations is of importance in understanding modeling capability and limitations for systems with limited sensor inform...
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...