2.2 DIKWP Semantic Mathematics DIKWP semantic mathematics provides a formal framework for modeling the transformations and interactions between the DIKWP components. It utilizes mathematical structures such as functions, mappings, and graphs to represent the relationships and processes within the model. Tra...
Mathematics SkillsCognitive AbilityTracing the connections from brain functions to childrens cognitive development and education is a major goal of modern neuroscience. We performed the first meta-analysis of functional magnetic resonance imaging (fMRI) data obtained over the past decade (19992008) on ...
Lobachevskii Journal of Mathematics Aims and scope Submit manuscript I. A. Kolesnikov 77 Accesses Explore all metrics Abstract We investigate the conformal mapping of a rectangle onto a polygon. Using theta elliptic functions, we represent such a mapping via an integral of the Schwarz–...
As for an important kind of nonautonomous system, viz., dynamical oscillators with time-evolving coupled functions or/and with various types of noise, the dynamical Bayesian inference with a delicate set of function bases can provide pretty practical solutions14. As for the future research topics,...
In particular, we introduce a new family of convex distortion measures, and prove that, on meshes, most of the existing distortion energies are non-convex functions of vertex coordinates.This is a preview of subscription content, log in via an institution to check access. ...
and resolution of fine-mapping. Second, XMAP can identify multiple causal signals with a linear computational cost, while many existing fine-mapping methods are too time-consuming to identify multiple causal signals. Third, XMAP can correct the confounding bias in GWAS summary data to avoid false ...
In this paper we investigate the higher dimensional divergence functions of mapping class groups of surfaces and of CAT(0)--groups. We show that, for mappi... J Behrstock,C Drutu - 《Mathematics》 被引量: 5发表: 2013年 Knots, braids, and mapping class groups--papers dedicated to Joan ...
Mhaskar, H., Liao, Q., Poggio, T.: Learning functions: when is deep better than shallow. arXiv:1603.00988 (2016) Nagarajan, V., Kolter, J. Z.: Uniform convergence may be unable to explain generalization in deep learning. In: Advances in Neural Information Processing Systems, pp. 11611–...
Whitney proved that M can be mapped into ℝ by observation functions, and points in ℝ can be used to construct M37. According to the theorem, for a compact d-dimensional manifold M and a set of observation functions \(\left\langle {h}_{1},\,{h}_{2},\ldots .,{h}_{L}\...
Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models. Catena 96, 28-40. [7] Bui, D.T., Shirzadi, A., Shahabi, H., Chapi, K., Omidavr, E., Pham, B.T., Talebpour ...