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In this paper we provide the reader with a visual representation of relationships among the impact of book chapters indexed in the Book Citation Index using information gain values and published by different academic publishers in specific…

Compositor attribution, the clustering of pages in a historical printed document by the individual who set the type, is a bibliographic task that relies on analysis of orthographic variation and inspection of visual details of the printed…

Computation and Language · Computer Science 2017-04-27 Maria Ryskina , Hannah Alpert-Abrams , Dan Garrette , Taylor Berg-Kirkpatrick

The paper by Alfons, Croux and Gelper (2013), Sparse least trimmed squares regression for analyzing high-dimensional large data sets, considered a combination of least trimmed squares (LTS) and lasso penalty for robust and sparse…

Applications · Statistics 2013-12-10 Yuao Hu , Ye Tian , Heng Lian

Stylometry is mostly applied to authorial style. Recently, researchers have begun investigating the style of characters, finding that the variation remains within authorial bounds. We address the stylistic distinctiveness of characters in…

Computation and Language · Computer Science 2023-01-16 Artjoms Šeļa , Ben Nagy , Joanna Byszuk , Laura Hernández-Lorenzo , Botond Szemes , Maciej Eder

We study the classic Text-to-Pattern Hamming Distances problem: given a pattern $P$ of length $m$ and a text $T$ of length $n$, both over a polynomial-size alphabet, compute the Hamming distance between $P$ and $T[i\, .\, . \, i+m-1]$ for…

Data Structures and Algorithms · Computer Science 2024-12-20 Timothy M. Chan , Ce Jin , Virginia Vassilevska Williams , Yinzhan Xu

Records of the traded value f_i(t) of stocks display fluctuation scaling, a proportionality between the standard deviation sigma(i) and the average <f(i)>: sigma(i) ~ f(i)^alpha, with a strong time scale dependence alpha(dt). The…

Physics and Society · Physics 2008-12-02 Zoltan Eisler , Janos Kertesz

Predicting the number of coauthors for researchers contributes to understanding the development of team science. However, it is an elusive task due to diversity in the collaboration patterns of researchers. This study provides a learning…

Digital Libraries · Computer Science 2020-03-23 Zheng Xie

Distance correlation is a novel class of multivariate dependence measure, taking positive values between 0 and 1, and applicable to random vectors of arbitrary dimensions, not necessarily equal. It offers several advantages over the…

Computation · Statistics 2024-05-06 Blanca E. Monroy-Castillo , M. A , Jácome , Ricardo Cao

We study the problem of estimating the edit distance between two $n$-character strings. While exact computation in the worst case is believed to require near-quadratic time, previous work showed that in certain regimes it is possible to…

Data Structures and Algorithms · Computer Science 2020-07-29 Joshua Brakensiek , Moses Charikar , Aviad Rubinstein

Carollo et al. have recently resolved the stellar population of the Milky Way halo into at least two distinct components, an inner halo and an outer halo. This result has been criticized by Schoenrich et al., who claim that the retrograde…

The \emph{$f$-fault-tolerant connectivity labeling} ($f$-FTC labeling) is a scheme of assigning each vertex and edge with a small-size label such that one can determine the connectivity of two vertices $s$ and $t$ under the presence of at…

Data Structures and Algorithms · Computer Science 2023-11-17 Taisuke Izumi , Yuval Emek , Tadashi Wadayama , Toshimitsu Masuzawa

Examples of the $\beta$-Jacobi ensemble specify the joint distribution of the transmission eigenvalues in scattering problems. In this context, there has been interest in the distribution of the trace, as the trace corresponds to the…

Mathematical Physics · Physics 2020-12-02 Peter J. Forrester , Santosh Kumar

The difficulties of detecting association, measuring correlation, and establishing cause and effect have fascinated mankind since time immemorial. Democritus, the Greek philosopher, underscored well the importance and the difficulty of…

Other Statistics · Statistics 2017-09-20 Donald St. P. Richards

We address the issue of the quantum-classical correspondence in chaotic systems using, as recently done by Zurek [e-print quant-ph/9802054], the solar system as a whole as a case study: this author shows that the classicality of the…

Quantum Physics · Physics 2011-08-04 David Vitali , Paolo Grigolini

Selecting an appropriate book is crucial for fostering reading habits in children. While children exhibit varying levels of complexity when generating oral narratives, the question arises: do children's books also differ in narrative…

Computation and Language · Computer Science 2025-02-12 Marina Ribeiro , Bárbara Malcorra , Diego Pintor , Natália Bezerra Mota

The paper investigates the question of whether or not determinations of the distance between the Sun and the Galactic center R0 are affected by the so-called "bandwagon effect", leading to selection effects in published data that tend to be…

Astrophysics of Galaxies · Physics 2013-01-30 Zinovy Malkin

Multilingual Natural Language Generation (NLG) is challenging due to the lack of training data for low-resource languages. However, some low-resource languages have up to tens of millions of speakers globally, making it important to improve…

Computation and Language · Computer Science 2025-10-22 Aden Haussmann

In this study, we employ a classification approach to show that different categories of literary "quality" display unique linguistic profiles, leveraging a corpus that encompasses titles from the Norton Anthology, Penguin Classics series,…

Computation and Language · Computer Science 2024-04-16 Yuri Bizzoni , Pascale Feldkamp , Ida Marie Lassen , Mia Jacobsen , Mads Rosendahl Thomsen , Kristoffer Nielbo

We introduce a Cucker-Smale-type model for flocking, where the strength of interaction between two agents depends on their relative separation (called "topological distance" in previous works), which is the number of intermediate…

Dynamical Systems · Mathematics 2015-06-12 Jan Haskovec

Measuring strength or degree of statistical dependence between two random variables is a common problem in many domains. Pearson's correlation coefficient $\rho$ is an accurate measure of linear dependence. We show that $\rho$ is a…

Statistics Theory · Mathematics 2018-04-24 Priyantha Wijayatunga
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