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In the last decade, the multi-sensory approach to data analysis has gained relevance. The possibility of including people with vision difficulties in the field of education and the dissemination of science is part of it. However, in the…

Instrumentation and Methods for Astrophysics · Physics 2024-04-30 Johanna Casado , Beatriz García

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool for this task. BNs require constructing a…

Artificial Intelligence · Computer Science 2026-03-18 Joverlyn Gaudillo , Nicole Astrologo , Fabio Stella , Enzo Acerbi , Francesco Canonaco

The twenty-first century is a data-driven era where human activities and behavior, physical phenomena, scientific discoveries, technology advancements, and almost everything that happens in the world resulting in massive generation,…

Artificial Intelligence · Computer Science 2025-02-10 Simon Zhang

We describe the application of data mining algorithms to research problems in astronomy. We posit that data mining has always been fundamental to astronomical research, since data mining is the basis of evidence-based discovery, including…

Instrumentation and Methods for Astrophysics · Physics 2009-11-04 Kirk Borne

Super-resolution methods form high-resolution images from low-resolution images. In this paper, we develop a new Bayesian nonparametric model for super-resolution. Our method uses a beta-Bernoulli process to learn a set of recurring visual…

Machine Learning · Computer Science 2012-09-25 Gungor Polatkan , Mingyuan Zhou , Lawrence Carin , David Blei , Ingrid Daubechies

Online learning is an inferential paradigm in which parameters are updated incrementally from sequentially available data, in contrast to batch learning, where the entire dataset is processed at once. In this paper, we assume that…

Statistics Theory · Mathematics 2026-02-12 Jeyong Lee , Junhyeok Choi , Minwoo Chae

The subject of Polynomiography deals with algorithmic visualization of polynomial equations, having many applications in STEM and art, see [Kal04]. Here we consider the polynomiography of the partial sums of the exponential series. While…

History and Overview · Mathematics 2017-08-01 Bahman Kalantari

Survey telescopes such as the Vera C. Rubin Observatory and the Square Kilometre Array will discover billions of static and dynamic astronomical sources. Properly mined, these enormous datasets will likely be wellsprings of rare or unknown…

Instrumentation and Methods for Astrophysics · Physics 2021-10-07 Michelle Lochner , Bruce A. Bassett

We introduce here a generalization of the modified Bernstein polynomials for Jacobi weights using the $q$-Bernstein basis proposed by G.M. Phillips to generalize classical Bernstein Polynomials. The function is evaluated at points which are…

Functional Analysis · Mathematics 2007-05-23 Marie-Madeleine Derriennic

The problem of storing large amounts of information safely for a long period of time has become essential. One of the most promising new data storage mediums are the polymer-based data storage systems, like the DNA-storage system. These…

Information Theory · Computer Science 2025-04-21 Ville Junnila , Tero Laihonen , Tuomo Lehtilä

Leibniz's mathematical texts are a perfect example of a type of historical document that is extremely difficult to deal with in the context of an editorial enterprise: the draft. The tables in Leibniz's mathematical manuscripts are a…

History and Overview · Mathematics 2024-04-09 Ariles Remaki

Big Data concern large-volume, growing data sets that are complex and have multiple autonomous sources. Earlier technologies were not able to handle storage and processing of huge data thus Big Data concept comes into existence. This is a…

Machine Learning · Computer Science 2015-03-26 Praful Koturwar , Sheetal Girase , Debajyoti Mukhopadhyay

Recent and forthcoming advances in instrumentation, and giant new surveys, are creating astronomical data sets that are not amenable to the methods of analysis familiar to astronomers. Traditional methods are often inadequate not merely…

Instrumentation and Methods for Astrophysics · Physics 2024-01-30 Meyer Z. Pesenson , Isaac Z. Pesenson , Bruce McCollum

The discovery of scientific formulae that parsimoniously explain natural phenomena and align with existing background theory is a key goal in science. Historically, scientists have derived natural laws by manipulating equations based on…

Artificial Intelligence · Computer Science 2025-03-24 Ryan Cory-Wright , Cristina Cornelio , Sanjeeb Dash , Bachir El Khadir , Lior Horesh

In computer aided geometric design a polynomial is usually represented in Bernstein form. The de Casteljau algorithm is the most well-known algorithm for evaluating a polynomial in this form. Evaluation via the de Casteljau algorithm has…

Numerical Analysis · Mathematics 2018-08-22 Danny Hermes

Biometrics involves using unique human traits, both physical and behavioral, for the digital identification of individuals to provide access to systems, devices, or information. Within the field of computer science, it acts as a method for…

Cryptography and Security · Computer Science 2024-04-29 Sajjad Bhuiyan

The volume of data that will be produced by the next generation of astrophysical instruments represents a significant opportunity for making unplanned and unexpected discoveries. Conversely, finding unexpected objects or phenomena within…

Instrumentation and Methods for Astrophysics · Physics 2019-09-11 Gary Segal , David Parkinson , Ray P. Norris , Jesse Swan

In 1987, C. Sabbah proved the existence of Bernstein-Sato polynomials associated with several analytic functions. The purpose of this article is to give a more elementary and constructive proof of the result of C. Sabbah based on the notion…

Rings and Algebras · Mathematics 2007-05-23 Rouchdi Bahloul

This first "Bibliometric-enhanced Information Retrieval" (BIR 2014) workshop aims to engage with the IR community about possible links to bibliometrics and scholarly communication. Bibliometric techniques are not yet widely used to enhance…

Information Retrieval · Computer Science 2014-04-29 Philipp Mayr , Philipp Schaer , Andrea Scharnhorst , Peter Mutschke

Time-series data exists in every corner of real-world systems and services, ranging from satellites in the sky to wearable devices on human bodies. Learning representations by extracting and inferring valuable information from these time…

Machine Learning · Computer Science 2026-05-19 Patara Trirat , Yooju Shin , Junhyeok Kang , Youngeun Nam , Jihye Na , Minyoung Bae , Joeun Kim , Byunghyun Kim , Jae-Gil Lee