Results 21 to 30 of about 3,398 (121)
On the cross‐validation bias due to unsupervised preprocessing
Abstract Cross‐validation is the de facto standard for predictive model evaluation and selection. In proper use, it provides an unbiased estimate of a model's predictive performance. However, data sets often undergo various forms of data‐dependent preprocessing, such as mean‐centring, rescaling, dimensionality reduction and outlier removal. It is often
Amit Moscovich, Saharon Rosset
wiley +1 more source
In this work, we used reflexive Banach spaces to study the differential variational—hemivariational inequality problems with constraints. We established a sequence of perturbed differential variational–hemivariational inequality problems with perturbed ...
Shih-Sen Chang +4 more
doaj +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract The avian beak is a key morphological trait used for foraging. If parasites alter beak shape, we may expect changes in host foraging behaviour. Larvae of the avian vampire fly Philornis downsi cause naris enlargement in Darwin's finch nestlings when first and second ...
Sonia Kleindorfer +8 more
wiley +1 more source
Abstract Aim Pleistocene climatic fluctuations have been identified as a dominant factor in evolutionary and ecological processes underlying contemporary species distribution. In contrast, anthropogenic activity during the Holocene has been largely neglected in phylogeographic inference.
Tongyi Liu +4 more
wiley +1 more source
Uniform Convexity and Convergence of a Sequence of Sets in a Complete Geodesic Space
In this paper, we first introduce two new notions of uniform convexity on a geodesic space, and we prove their properties. Moreover, we reintroduce a concept of the set‐convergence in complete geodesic spaces, and we prove a relation between the metric projections and the convergence of a sequence of sets.
Yasunori Kimura +2 more
wiley +1 more source
Graph‐like spaces approximated by discrete graphs and applications
Abstract We define a distance between energy forms on a graph‐like metric measure space and on a suitable discrete weighted graph using the concept of quasi‐unitary equivalence. We apply this result to metric graphs, graph‐like manifolds (e.g. a small neighbourhood of an embedded metric graph) or pcf self‐similar fractals as metric measure spaces with ...
Olaf Post, Jan Simmer
wiley +1 more source
Weak Convergence of $n$-Particle Systems Using Bilinear Forms [PDF]
The paper is concerned with the weak convergence of $n$-particle processes to deterministic stationary paths as $n\to\infty$. A Mosco type convergence of a class of bilinear forms is introduced.
Löbus, Jörg-Uwe
core +1 more source
H-compactness of elliptic operators on weighted Riemannian Manifolds [PDF]
In this paper we study the asymptotic behavior of second-order uniformly elliptic operators on weighted Riemannian manifolds. They naturally emerge when studying spectral properties of the Laplace-Beltrami operator on families of manifolds with rapidly ...
Hoppe, Helmer +2 more
core +3 more sources
On Mosco convergence of convex sets [PDF]
We present a natural topology compatible with the Mosco convergence of sequences of closed convex sets in a reflexive space, and characterise the topology in terms of the continuity of the distance between convex sets and fixed weakly compact ones. When the space is separable, the topology is Polish.
openaire +1 more source
Reinforcement problems for variational inequalities on fractal sets [PDF]
The aim of this paper is to study reinforcement problems for variational inequalities of the obstacle type on fractal ...
Capitanelli, Raffaela +1 more
core +1 more source

