www.bing.com/ck/a?!&&p=940dc57a1f0fe8feca488b61b34510e910c12748c60ba5cc4da4cbb3c9864eb4JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=2705fe1a-cb26-6a8d-0a1f-e908cac06b09&u=a1aHR0cHM6Ly9tYXRoLnN0YWNrZXhjaGFuZ2UuY29tL3F1ZXN0aW9ucy81OTMwNzYvd2hhdC1pcy10aGUtcmVsYXRpb25zaGlwLWJldHdlZW4tc2xuLWFuZC1zb24&ntb=1
I'm in Linear Algebra right now and we're mostly just working with vector spaces, but they're introducing us to the basic concepts of fields and groups in preparation taking for Abstract Algebra la...
arxiv.org/abs/2208.07168v1
In this bachelor thesis, we show how four different machine learning methods (Long Short-Term Memory, Random Forest, Support Vector Machine Regression, and k-Nearest Neighbor) perform compared to already successfully applied trading strategies such a...
github.com/shenweichen/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search. (⭐ 2413)
arxiv.org/abs/astro-ph/0007272v2
We study implications for the apparent alignment of the spin axes, proper-motions, and polarization vectors of the Crab and Vela pulsars. The spin axes are deduced from recent Chandra X-ray Observatory images that reveal jets and nebular structure...
arxiv.org/abs/2010.06791v3
It is well known that for Gaussian channels, a nearest neighbor decoding rule, which seeks the minimum Euclidean distance between a codeword and the received channel output vector, is the maximum likelihood solution and hence capacity-achieving. Near...
arxiv.org/abs/2509.18978v1
We derive a vector generalization of the square root embedding-based curvature-corrected Cramér--Rao bound (CRB) previously considered by the same author in \cite{srk} with scalar parameters. A \emph{directional} curvature correction is established...
arxiv.org/abs/2003.08088v2
We elevate the field theoretical similarities between Maxwell and Weyl vector fields into a full local scale/gauge invariant Weyl/Maxwell mutual sourcing theory. In its preliminary form, and exclusively in four dimensions, the associated Lagrangian i...
arxiv.org/abs/2405.18243v2
A compatible associative algebra is a vector space equipped with two associative multiplication structures that interact in a certain natural way. This article presents the classification of these algebras with dimension less than four, as well as th...
arxiv.org/abs/2509.06993v1
EarthVision Embed2Scale challenge (CVPR 2025) aims to develop foundational geospatial models to embed SSL4EO-S12 hyperspectral geospatial data cubes into embedding vectors that faciliatetes various downstream tasks, e.g., classification, regression,...
arxiv.org/abs/2312.14211v1
Open-source Large Language Models enable projects such as NASA SciX (i.e., NASA ADS) to think out of the box and try alternative approaches for information retrieval and data augmentation, while respecting data copyright and users' privacy. However,...
arxiv.org/abs/1304.5173v2
An infinite integer matrix A is called image partition regular if, whenever the natural numbers are finitely coloured, there is an integer vector x such that Ax is monochromatic. Given an image partition regular matrix A, can we also insist that each...
arxiv.org/abs/1407.0610v1
A 3D almost-Riemannian manifold is a generalized Riemannian manifold defined locally by 3 vector fields that play the role of an orthonormal frame, but could become collinear on some set $\Zz$ called the singular set. Under the Hormander condition, a...
arxiv.org/abs/1711.01767v1
Understanding mind-brain-environment relations is one of the key topics in psychology. Kurt Lewin, inspired by theoretical physics, tried to establish topological and vector psychology analyzing patterns of interaction between the individual and her/...
arxiv.org/abs/2007.15850v2
Iris recognition systems transform an iris image into a feature vector. The seminal pipeline segments an image into iris and non-iris pixels, normalizes this region into a fixed-dimension rectangle, and extracts features which are stored and called a...
en.wikipedia.org/wiki/Weak_topology
In mathematics, weak topology is an alternative term for certain initial topologies, often on topological vector spaces or spaces of linear operators,
arxiv.org/abs/2504.07637v2
A fast approximation to the Boys functions (related to the lower incomplete gamma function of half-integer parameter) by a single closed-form analytical expression for all argument values have been developed and tested. Besides the exponential functi...
github.com/owensgroup/merge-spmv
Fork of Duane Merrill Merge-based Parallel Sparse Matrix-Vector Multiplication Artifact (⭐ 6)
arxiv.org/abs/2304.13195v1
Graph representation learning models aim to represent the graph structure and its features into low-dimensional vectors in a latent space, which can benefit various downstream tasks, such as node classification and link prediction. Due to its powerfu...
arxiv.org/abs/1102.5335v1
We discuss a conjecture concerning the enumeration of nonsingular matrices over a finite field that are block companion and whose order is the maximum possible in the corresponding general linear group. A special case is proved using some recent resu...
arxiv.org/abs/1108.5881v2
A spread code is a set of vector spaces of a fixed dimension over a finite field Fq with certain properties used for random network coding. It can be constructed in different ways which lead to different decoding algorithms. In this work we present a...
