arxiv.org/abs/1901.10811v1
We study a problem of description of macroscopic body motion in the frame of nonrelativistic Snyder model. It is found that the motion of the center-of-mass of a body is described by an effective parameter which depends on the parameters of Snyder al...
en.wikipedia.org/wiki/Normal-inverse-Wishart_distribution
statistics, the normal-inverse-Wishart distribution (or Gaussian-inverse-Wishart distribution) is a multivariate four-parameter family of continuous probability
en.wikipedia.org/wiki/Normal-Wishart_distribution
the normal-Wishart distribution (or Gaussian-Wishart distribution) is a multivariate four-parameter family of continuous probability distributions. It
en.wikipedia.org/wiki/Normal-inverse-gamma_distribution
theory and statistics, the normal-inverse-gamma distribution (or Gaussian-inverse-gamma distribution) is a four-parameter family of multivariate continuous
www.bing.com/ck/a?!&&p=483c58ba3d22873dd8e10349c7252e94f9a57982eac5513c8fe8b752c454051bJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=210dbdf8-e481-65bb-2880-aae9e5b864da&u=a1aHR0cHM6Ly9zdGFja292ZXJmbG93LmNvbS9xdWVzdGlvbnMvMzUxODkzOC93aGF0LWFyZS1tYWdpYy1udW1iZXJzLWluLWNvbXB1dGVyLXByb2dyYW1taW5n&ntb=1
Aug 19, 2010 · Magic numbers are special value of certain variables which causes the program to behave in an special manner. For example, a communication library might take a Timeout parameter …
arxiv.org/abs/2402.08093v2
We introduce a text-to-speech (TTS) model called BASE TTS, which stands for $\textbf{B}$ig $\textbf{A}$daptive $\textbf{S}$treamable TTS with $\textbf{E}$mergent abilities. BASE TTS is the largest TTS model to-date, trained on 100K hours of public do...
arxiv.org/abs/2103.08148v1
The main object of investigation in this paper is a very general regression model in optional setting - when an observed process is an optional semimartingale depending on an unknown parameter. It is well-known that statistical data may present an in...
arxiv.org/abs/2410.20625v2
Low-rank adaption (LoRA) is a widely used parameter-efficient finetuning method for LLM that reduces memory requirements. However, current LoRA optimizers lack transformation invariance, meaning the actual updates to the weights depends on how the tw...
arxiv.org/abs/1003.2894v2
We combine published optical and near-infrared photometry to identify new low-mass candidate members in an area of about 0.64 deg^2 in Corona Australis, using the S-parameter method. Five new candidate members of the region are selected, with estima...
www.bing.com/ck/a?!&&p=c2148e9b0563861a203b595eb994182a9d0c4d117714d24740016fbd75252589JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=2bf877d8-904e-670f-073c-60c991c96668&u=a1aHR0cHM6Ly9zdGFja292ZXJmbG93LmNvbS9xdWVzdGlvbnMvMjcwOTgyMS93aGF0LWlzLXRoZS1wdXJwb3NlLW9mLXRoZS1zZWxmLXBhcmFtZXRlci13aHktaXMtaXQtbmVlZGVk&ntb=1
For a language-agnostic consideration of the design decision, see What is the advantage of having this/self pointer mandatory explicit?. To close debugging questions where OP omitted a self …
arxiv.org/abs/1905.01675v4
In this article, we explore the divergences and universal terms of the holographic entanglement entropy for singular regions in anisotropic and nonconformal theories that are holographically dual to geometries with a hyperscaling violation, parameter...
arxiv.org/abs/1108.5220v2
Here we describe the quantum limit to measurement of the classical gravitational field. Specifically, we write down the optimal quantum Cramer-Rao lower bound, for any single parameter describing a metric for spacetime. The standard time-energy and H...
arxiv.org/abs/2507.16502v3
We identify new families of duality-invariant theories of electrodynamics. We achieve this in two different ways. On the one hand, we present an algorithm to construct a one-parameter family of exactly duality-invariant theories from a single seed du...
arxiv.org/abs/1111.2281v1
This document defines the high level metadata necessary to describe the physical parameter space of observed or simulated astronomical data sets, such as 2D-images, data cubes, X-ray event lists, IFU data, etc.. The Characterisation data model is an...
arxiv.org/abs/2407.21701v2
Distributed quantum sensing enables the estimation of multiple parameters encoded in spatially separated probes. While traditional quantum sensing is often focused on estimating a single parameter with maximum precision, distributed quantum sensing s...
arxiv.org/abs/nucl-ex/0202008v1
The neutral decay modes of the eta meson are reviewed. The most recent results obtained with the Crystal Ball multiphoton detector at BNL are incorporated. This includes a new, precise result for the slope parameter alpha of the Dalitz plot in eta...
arxiv.org/abs/2407.07802v1
Model training requires significantly more memory, compared with inference. Parameter efficient fine-tuning (PEFT) methods provide a means of adapting large models to downstream tasks using less memory. However, existing methods such as adapters, pro...
arxiv.org/abs/2506.09627v2
Large language models (LLMs) offer an inexpensive yet powerful way to annotate text, but are often inconsistent when compared with experts. These errors can bias downstream estimates of population parameters such as regression coefficients and causal...
arxiv.org/abs/2002.12697v2
In the one-dimensional Bose-Hubbard model with on-site and nearest neighbor interactions, a gapped phase characterized by an exotic non-local order parameter emerges, the Haldane insulator. Bose-Hubbard models with cavity-mediated global range intera...
arxiv.org/abs/2304.11710v1
We investigate soliton collisions a one-parameter family of scalar field theories in 1+1 dimensions which was first discussed by Christ and Lee. The models have a sextic potential with three local minima, and for suitably small values of the paramete...