www.bing.com/ck/a?!&&p=1e08d9dd3eaba1e4c0326f0669064a2573b0437428e159a8db29dfb99521c6d9JmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=3a19e290-27d0-6882-37ab-f585263469f5&u=a1aHR0cHM6Ly9qdWxpYWNvbXB1dGluZy5jb20vdHJhaW5pbmcv&ntb=1
The training covers introduction to Julia, vector and array operations in Julia, followed by introductory machine learning techniques and applications. The course then takes a deep dive into introducing …
arxiv.org/abs/1711.10932v3
We completely characterize the finite dimensional subsets A of any separable Hilbert space for which the notion of A-hypercyclicity coincides with the notion of hypercyclicity, where an operator T on a topological vector space X is said to be A-hyper...
news.ycombinator.com/item?id=17137403
Points: 0 | Comments: 0 | Author: eigen-vector
github.com/nceglia/genevector
Vector representations of gene co-expression in single cell RNAseq. (⭐ 36)
arxiv.org/abs/q-alg/9710002v1
This note defines a flag vector for $i$-graphs. The construction applies to any finite combinatorial object that can be shelled. Two possible connections to quantum topology are mentioned. Further details appear in the author's "On quantum topology...
www.bing.com/ck/a?!&&p=1e8d747d8e933ed28facb244c03e60640fb449bf2f1847484b2906654ec818e9JmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=18d8d851-600d-6f09-2b73-cf4461926ea0&u=a1aHR0cHM6Ly9kb2NzLmNsb3VkLmdvb2dsZS5jb20vdmVydGV4LWFpL2RvY3MvdmVjdG9yLXNlYXJjaC9jcmVhdGUtbWFuYWdlLWluZGV4&ntb=1
4 days ago · With Vector Search, you can create two types of indexes, depending on how you plan to update them with your data. You can create an index designed for batch updates, or an index …
arxiv.org/abs/2402.05769v1
Our main result states that whenever we have a non-Euclidean norm $\|\cdot\|$ on a two-dimensional vector space $X$, there exists some $x\neq 0$ such that for every $λ\neq 1, λ>0$, there exist $y, z\in X$ verifying that $\|y\|=λ\|x\|$, $z\neq 0$,...
arxiv.org/abs/2002.08232v3
We address the problem of self-supervised learning on discrete event sequences generated by real-world users. Self-supervised learning incorporates complex information from the raw data in low-dimensional fixed-length vector representations that coul...
arxiv.org/abs/2007.02606v3
We propose a novel convolutional method for the detection and identification of vertebrae in whole spine MRIs. This involves using a learnt vector field to group detected vertebrae corners together into individual vertebral bodies and convolutional i...
www.bing.com/ck/a?!&&p=85783f0f138db8f139a6274cb46ee878a8ce6d8b2fd57ff31f569d72c816bf05JmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=362da3a9-2062-690c-1b34-b4bc215a685e&u=a1aHR0cHM6Ly93d3cuY3MudWJjLmNhL35qZi9jb3Vyc2VzLzMwMy5TMjAyMC9IYW5kb3V0cy9jb25kaXRpb25fbnVtLnBkZg&ntb=1
num Systems. The idea behind the condition involves solving an n n system of equations Ax = b, where x is an n 1 (\column vector") of unknowns, b is a given n 1 (the \constants" of the equation or \system …
arxiv.org/abs/math/0102070v5
The goal is to verify the Hodge conjecture (and some related conjectures) for certain moduli spaces. It is shown that the (generalized) Hodge conjecture holds for the projective moduli spaces of vector bundles over an abelian or K3 surface or a cur...
arxiv.org/abs/1412.6414v1
The purpose of this paper is to investigate applications the covariant derivatives, killing vector fields and to calculate the components of the curvature tensor CGR of the Cheeger-Gromoll metric with respect to adapted frames in a the Riemannian man...
arxiv.org/abs/1303.0724v1
The main purpose of present paper is to study the affine connection induced from the horizontal lift on the cross-section determined by a vector field in Mn with respect to the adapte frame of ....
arxiv.org/abs/1204.0642v1
Braid Floer homology is an invariant of proper relative braid classes. Closed integral curves of 1-periodic Hamiltonian vector fields on the 2-disc may be regarded as braids. If the Braid Floer homology of associated proper relative braid classes is...
arxiv.org/abs/2203.04702v1
Knowledge graph embedding (KGE) has been shown to be a powerful tool for predicting missing links of a knowledge graph. However, existing methods mainly focus on modeling relation patterns, while simply embed entities to vector spaces, such as real f...
arxiv.org/abs/1008.0106v1
We present a geometric construction of central extensions of covering groups of the group of volume preserving diffeomorphisms, integrating central extensions of the Lie algebra of divergence free vector fields defined by Lichnerowicz cocycles. Certa...
arxiv.org/abs/0910.3906v2
We generalize the prequantization central extension of a group of diffeomorphisms preserving a closed 2-form ω(ω-invariant diffeomorphisms) to an abelian extension of a group of diffeomorphisms preserving a closed vector valued 2-form ω, up to a l...
en.wikipedia.org/wiki/Tensor_%28disambiguation%29
objects related to a vector space. Tensor may also refer to: Tensor (intrinsic definition) Tensor field Tensor product Tensor (obsolete), the norm used on the
arxiv.org/abs/1805.02855v2
Geospatial analysis lacks methods like the word vector representations and pre-trained networks that significantly boost performance across a wide range of natural language and computer vision tasks. To fill this gap, we introduce Tile2Vec, an unsupe...
arxiv.org/abs/nucl-th/9806026v1
We discuss the similarities and differences for the theories of Rapp, Wambach and collaborators (called R/W in short) and those based on Brown-Rho scaling (called B/R), as applied to reproduce the dileptons measured by the CERES collaboration in th...
