Results 101 to 110 of about 1,269,954 (273)
Spanning forests on the Sierpinski gasket
Discrete Mathematics & Theoretical Computer Science, 2008 We present the numbers of spanning forests on the Sierpinski gasket $SG_d(n)$ at stage $n$ with dimension $d$ equal to two, three and four, and determine the asymptotic behaviors.
Shu-Chiuan Chang, Lung-Chi Chen
doaj
Asymptotics of hierarchical clustering for growing dimension
Journal of Multivariate Analysis, 2014 Modern day science presents many challenges to data analysts. Advances in data collection provide very large (number of observations and number of dimensions) data sets. In many areas of data analysis an informative task is to find natural separations of data into homogeneous groups, i.e. clusters.
Petro Borysov, Jan Hannig, J. S. Marron
openaire +2 more sources
Relating asymptotic dimension to Ponomarev's cofinal dimension via coarse proximities
, 2022 In this paper we show that the asymptotic dimension of an unbounded proper metric space is bounded above by a coarse analog of Ponomarev's cofinal dimension of topological spaces, which we call the coarse cofinal dimension.
Siegert, Jeremy
core
Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors
Advanced Science, EarlyView.Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu +4 more
wiley +1 more source
Minimum Distance Index for BSS, Generalization, Interpretation and Asymptotics
Austrian Journal of Statistics, 2020 We consider complex valued linear blind source separation, where the signal dimension might be smaller than the dimension of the observable data vector.
Niko Lietzén +3 more
doaj +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Advanced Science, EarlyView.Complex microarchitectures emerge from simple flow‐driven transformations as static mixers iteratively reorient and split material domains. Coupled with diverse deposition strategies, chaotic printing provides an accessible platform for fabricating architected materials that support biologically and chemically relevant processes. ABSTRACT Nature builds
Edna Johana Bolívar‐Monsalve +7 more
wiley +1 more source
Topological asymptotic dimension [PDF]
We initiate a study of asymptotic dimension for locally compact groups. This notion extends the existing invariant for discrete groups and is shown to be finite for a large class of residually compact groups. Along the way, the notion of Hirsch length is
Amini, Massoud
core +1 more source
Universal asymptotics for high energy CFT data
Journal of High Energy PhysicsEquilibrium finite temperature observables of a CFT can be described by a local effective action for background fields — a “thermal effective action”. This effective action determines the asymptotic density of states of a CFT as a detailed function of ...
Nathan Benjamin +3 more
doaj +1 more source
Advanced Science, EarlyView.An antiferroelectric tunnel junction serves as a reservoir computing node, where field‐induced phase transitions and spontaneous ZrO2 relaxation deliver nonlinear fading memory. An In‐Ga‐Zn oxide interlayer enlarges the memory margin and multibit state richness.
Taegyu Kwon +13 more
wiley +1 more source