Results 91 to 100 of about 1,405,425 (255)
ABSTRACT A family ℱ of subsets of [ n ] = { 1 , 2 , … , n } shatters a set A ⊆ [ n ] if for every A ′ ⊆ A, there is an F ∈ ℱ such that F ∩ A = A '. We develop a framework to analyze f ( n , k , d ), the maximum possible number of subsets of [ n ] of size d that can be shattered by a family of size k.
Noga Alon +2 more
wiley +1 more source
Three hypergraph eigenvector centralities [PDF]
Eigenvector centrality is a standard network analysis tool for determining the importance of (or ranking of) entities in a connected system that is represented by a graph.
Austin R. Benson
semanticscholar +1 more source
Hamilton ℓ-cycles in uniform hypergraphs
v3: corrected very minor error in Lemma 4.6 and the proof of Lemma 6 ...
Kühn, Daniela +2 more
openaire +2 more sources
The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini +2 more
wiley +1 more source
Book free 3-uniform hypergraphs
A $k$-book in a hypergraph consists of $k$ Berge triangles sharing a common edge. In this paper we prove that the number of the hyperedges in a $k$-book-free 3-uniform hypergraph on $n$ vertices is at most $\frac{n^2}{8}(1+o(1))$.
Debarun Ghosh +5 more
openaire +3 more sources
Abstract Multiple sensors are strategically deployed within concrete dams to monitor structural behavior under intricate environmental conditions. The diverse monitoring parameters, spatial configurations, and temporal variations across these sensors often engender performance conflicts.
Xiaosong Shu +8 more
wiley +1 more source
Flowchart for estimating multiway multiscale interactions within brain networks. ABSTRACT Complex biological systems, like the brain, exhibit intricate multiway and multiscale interactions that drive emergent behaviors. In psychiatry, neural processes extend beyond pairwise connectivity, involving higher‐order interactions critical for understanding ...
Qiang Li +5 more
wiley +1 more source
Information-Theoretic Limits and Strong Consistency on Binary Non-uniform Hypergraph Stochastic Block Models [PDF]
Hai‐Xiao Wang
openalex +1 more source
Determination of the Optimal Window Size for the Spatial XOR Filter
ABSTRACT Introduction An XOR filter is a probabilistic data structure representing a set of keys for membership queries. Given a set X⊂𝒰 of n$$ n $$ keys, and hash functions h1,…,hk:𝒰→{1,…,m}, the filter relies on filling in an array H[1,…,m]$$ H\left[1,\dots, m\right] $$ such that, for all x∈X$$ x\in X $$, h1(x)⊕⋯⊕hk(x)$$ {h}_1(x)\oplus \cdots \oplus {
Paulo Diogo Rodrigues Leão +2 more
wiley +1 more source
Monochromatic loose paths in multicolored $k$-uniform cliques [PDF]
For integers $k\ge 2$ and $\ell\ge 0$, a $k$-uniform hypergraph is called a loose path of length $\ell$, and denoted by $P_\ell^{(k)}$, if it consists of $\ell $ edges $e_1,\dots,e_\ell$ such that $|e_i\cap e_j|=1$ if $|i-j|=1$ and $e_i\cap e_j=\emptyset$
Andrzej Dudek, Andrzej Ruciński
doaj +1 more source

