With the rapid growth of wind energy development and increasing wind power penetration
level, it will be a big challenge to operate the power system with high wind power penetration …

… (C) The overlap of early divergent and recently derived species reveals which mountain
regions represent museums (purple), cradles (green), or both (red). Light blue areas have low …

The goal of this report is to critically review research on executive functioning (EF) and working
memory in individuals with fetal alcohol spectrum disorder (FASD). Individuals with FASD …

We give a basic introduction to Gaussian Process regression models. We focus on
understanding the role of the stochastic process and how it is used to define a distribution over …

Machine learning usually refers to changes in systems that perform tasks associated with
artificial intelligence (AI). Such tasks involve recognition, diagnosis, planning, robot control, …

The Pythia program is a standard tool for the generation of events in high-energy collisions,
comprising a coherent set of physics models for the evolution from a few-body hard process …

… of the Neurospora sexual reproductive cycle, causing numerous C•G to T•A mutations within
… of the C•G pairs in duplicated sequences can be mutated, with a strong preference for C to T …

… In section 3 we will discuss how the hyperparameters III C can be adapted, in response to
… algorithms on five real-world data sets in (Rasmussen, 1996; in this volume). The data sets …

We provide a new unifying view, including all existing proper probabilistic sparse approximations
for Gaussian process regression. Our approach relies on expressing the effective prior …

In a Bayesian mixture model it is not necessary a priori to limit the num (cid: 173) ber of
components to be finite. In this paper an infinite Gaussian mixture model is presented which …