github.com/AndersonBY/vector-vein
AndersonBY/vector-vein
No-code AI workflow. Drag and drop workflow nodes and use your workflow with your AI agents. (⭐ 942)
arxiv.org/abs/hep-ph/9411291v1
The Bess Model at Future Colliders
The BESS model consists of an effective lagrangian parametrization with dynamical symmetry breaking, describing scalar, vector and axial-vector bound states in a rather general framework. After a brief description of the model and its generalizatio...
arxiv.org/abs/2504.08137v1
Empowering Vector Architectures for ML: The CAMP Architecture for Matrix Multipl…
This study presents the Cartesian Accumulative Matrix Pipeline (CAMP) architecture, a novel approach designed to enhance matrix multiplication in Vector Architectures (VAs) and Single Instruction Multiple Data (SIMD) units. CAMP improves the processi...
arxiv.org/abs/2510.25503v1
A Vector-Based Algorithm for Generating Complete Balanced Reaction Sets with Arb…
We present a vector-based method to balance chemical reactions. The algorithm builds candidates in a deterministic way, removes duplicates, and always prints coefficients in the lowest whole-number form. For redox cases, electrons and protons/hydroxi...
arxiv.org/abs/2510.25453v1
Vector-Based Approach to the Stoichiometric Analysis of Multicomponent Chemical…
The study demonstrates the capabilities of a vector-based approach for calculating stoichiometric coefficients in chemical equations, using black powder as an illustrative example. A method is proposed for selecting and constraining intermediate inte...
github.com/tensorchord/pgvecto.rs
tensorchord/pgvecto.rs
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. (⭐ 2157)
arxiv.org/abs/1303.1152v2
An Equivalence between the Lasso and Support Vector Machines
We investigate the relation of two fundamental tools in machine learning and signal processing, that is the support vector machine (SVM) for classification, and the Lasso technique used in regression. We show that the resulting optimization problems...
arxiv.org/abs/2502.19659v1
Time-Varying Identification of Structural Vector Autoregressions
We propose a novel Bayesian heteroskedastic Markov-switching structural vector autoregression with data-driven time-varying identification. The model selects among alternative patterns of exclusion restrictions to identify structural shocks within th...
arxiv.org/abs/hep-ex/0501024v1
The LUCIAE model predictions on the light vector meson production in proton-prot…
The LUCIAE model predictions are compared with experimental data on light vector meson ($ρ,ω,φ$) production in pp, p+Pb and Pb+Pb collisions at 158 A GeV. The model reproduces the general trends of the data, but fails in describing the yield of...
nextword.substack.com/p/vector-database-is-not-a-separate
Every database will become a vector database sooner or later
Points: 232 | Comments: 138 | Author: nextworddev
github.com/sleepinyourhat/vector-entailment
sleepinyourhat/vector-entailment
A suite of representation learning models for sentence embedding, and some tasks to evaluate them on. (⭐ 83)
en.wikipedia.org/wiki/Sequentially_complete
Sequentially complete - Wikipedia
every quasi-complete topological vector space is sequentially complete. Cauchy net Complete space Complete topological vector space Quasi-complete space Topological
arxiv.org/abs/2602.17858v1
Multi-Attribute Group Fairness in $k$-NN Queries on Vector Databases
We initiate the study of multi-attribute group fairness in $k$-nearest neighbor ($k$-NN) search over vector databases. Unlike prior work that optimizes efficiency or query filtering, fairness imposes count constraints to ensure proportional represent...
arxiv.org/abs/1301.1261v1
Application of polynomial vector (pv) processing to improve the estimation perfo…
This paper presents the implementation of polynomial vector back propagation algorithm (PVBPA) for estimating the power, torque, specific fuel consumption and presence of carbon monoxide, hydrocarbons in the emission of a direct injection diesel engi...
arxiv.org/abs/1908.02834v3
Curves orthogonal to a vector field in Euclidean spaces
A curve is rectifying if it lies on a moving hyperplane orthogonal to its curvature vector. In this work, we extend the main result of [Chen 2017, Tamkang J. Math. 48, 209] to any space dimension: we prove that rectifying curves are geodesics on hype...
arxiv.org/abs/1803.00159v1
A Class-Incremental Learning Method Based on One Class Support Vector Machine
A method based on one class support vector machine (OCSVM) is proposed for class incremental learning. Several OCSVM models divide the input space into several parts. Then, the 1VS1 classifiers are constructed for the confuse part by using the suppor...
arxiv.org/abs/q-bio/0312006v1
Relevance Vector Machines for classifying points and regions in biological seque…
The Relevance Vector Machine (RVM) is a recently developed machine learning framework capable of building simple models from large sets of candidate features. Here, we describe a protocol for using the RVM to explore very large numbers of candidate...
www.bing.com/ck/a?!&&p=e9da8acf1d025f146c8b995020e0a0d04b58b22dbe01bceb506f6873ba9bfddbJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=199da5c8-9b63-6c89-3151-b2da9a9b6da4&u=a1aHR0cHM6Ly93d3cuZmxhdGljb24uY29tL3BhY2tz&ntb=1
421,070 vector icon packs - SVG, PSD, PNG, EPS & icon font - Free …
Discover our vector icon packs. 421,070 Free icon sets, available in SVG, PSD, PNG, EPS, format or as ICON FONT. Download them now!
arxiv.org/abs/2508.10050v1
Legal Zero-Days: A Novel Risk Vector for Advanced AI Systems
We introduce the concept of "Legal Zero-Days" as a novel risk vector for advanced AI systems. Legal Zero-Days are previously undiscovered vulnerabilities in legal frameworks that, when exploited, can cause immediate and significant societal disruptio...
en.wikipedia.org/wiki/SVG
SVG - Wikipedia
Scalable Vector Graphics (SVG) is an XML-based vector graphics format for defining two-dimensional graphics, having support for interactivity and animation