Recently, urban traffic management has encountered a paradoxical situation which is the
empty carrying phenomenon for taxi drivers and the difficulty of taking a taxi for passengers …

We describe GTApprox—a new tool for medium-scale surrogate modeling in industrial
design. Compared to existing software, GTApprox brings several innovations: a few novel …

This paper describes the use of Kernel Ridge Regression (KRR) and Kernel Ridge
Regression Confidence Machine (KRRCM) for black box identification of a surface marine …

Global sensitivity analysis aims at quantifying respective effects of input random variables
(or combinations thereof) onto variance of a physical or mathematical model response …

In this paper, a new paradigm of user authentication called “wireless key” is described.
Following this concept, a novel many-to-many authentication scheme based on passive …

This article develops the theory and methods for modeling a stationary count time series via
Gaussian transformations. The techniques use a latent Gaussian process and a …

We consider the regression problem, ie prediction of a real valued function. A Gaussian
process prior is imposed on the function, and is combined with the training data to obtain …

As a critical step to efficiently design control structures, system identification is concerned
with building models of dynamical systems from observed input–output data. In this paper, a …

Engineers widely use Gaussian process regression framework to construct surrogate
models aimed to replace computationally expensive physical models while exploring design …

General predictive models do not provide a measure of confidence in predictions without
Bayesian assumptions. A way to circumvent potential restrictions is to use conformal …