This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
This paper presents an approach for combined mass and energy integration in process synthesis and illustrates it at the thermochemical production of crude synthetic natural gas (S...
: The parity space approach to fault detection and isolation (FDI) has been developed during the last twenty years, and the focus here is to describe its application to stochastic ...
Background: Over the last few years, genome-wide association (GWA) studies became a tool of choice for the identification of loci associated with complex traits. Currently, impute...
Yurii S. Aulchenko, Maksim V. Struchalin, Cornelia...