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Research at the intersection of machine learning and the social sciences has provided critical new insights into social behavior. At the same time, a variety of critiques have been raised ranging from technical issues with the data used and…

Computers and Society · Computer Science 2020-01-16 Jason Radford , Kenneth Joseph

To the best of our knowledge this paper is the first attempt to introduce and study polynomial interpolation of the polynomial data given on arbitrary varieties. In the first part of the paper we present results on the solvability of such…

Commutative Algebra · Mathematics 2022-08-29 Tom McKinley , Boris Shekhtman , Brian Tuesink

We show how to extrapolate an analytic function (or a smooth signal) by multiplying and dividing its values on geometric sequences that collapse to a point.

Numerical Analysis · Mathematics 2012-08-21 Patrick Arthur Miller

We develop a theory of modulus triples, for future motivic applications.

Algebraic Geometry · Mathematics 2023-03-07 Bruno Kahn , Hiroyasu Miyazaki

The interrelations between the inverse problems of the representation theory and the categorical representation theory are discussed.

q-alg · Mathematics 2008-02-03 Denis V. Juriev

The main purpose of this paper is to propose some interesting number theory problems related to the Legendre's symbol and the two-term exponential sums.

General Mathematics · Mathematics 2025-06-24 Wenpeng Zhang

The Implicit and Inverse Function Theorems are special cases of a general Implicit/Inverse Function Theorem which can be easily derived from either theorem. The theorems can thus be easily deduced from each other via the generalized…

Classical Analysis and ODEs · Mathematics 2015-10-09 Bruce Blackadar

With the rapid development of information technology, online platforms have produced enormous text resources. As a particular form of Information Extraction (IE), Event Extraction (EE) has gained increasing popularity due to its ability to…

Computation and Language · Computer Science 2021-11-08 Jiangwei Liu , Liangyu Min , Xiaohong Huang

We servey a series of investigations of optimal testing of multiple hypotheses conserning various multiobject models. These studies are a bright instance of application of methods and technics developed in Shannon information theory to…

Statistics Theory · Mathematics 2012-04-16 Evgueni Haroutunian , Parandzem Hakobyan

Deduction modulo is a way to express a theory using computation rules instead of axioms. We present in this paper an extension of deduction modulo, called Polarized deduction modulo, where some rules can only be used at positive…

Logic in Computer Science · Computer Science 2023-05-26 Gilles Dowek

The paper gives an extension of Prony's method to the multivariate case which is based on the relationship between polynomial interpolation, normal forms modulo ideals and H--bases.

Numerical Analysis · Mathematics 2016-08-16 Tomas Sauer

Covering theory is an important tool in representation theory of algebras, however, the results and the proofs are scattered in the literature. We give an introduction to covering theory at a level as elementary as possible.

Representation Theory · Mathematics 2026-05-29 Yuming Liu , Nengqun Li , Bohan Xing , Pengyun Chen

Complexity theory provides a wealth of complexity classes for analyzing the complexity of decision and counting problems. Despite the practical relevance of enumeration problems, the tools provided by complexity theory for this important…

Computational Complexity · Computer Science 2017-10-25 Nadia Creignou , Markus Kröll , Reinhard Pichler , Sebastian Skritek , Heribert Vollmer

We study the functional task of deep learning image classification models and show that image classification requires extrapolation capabilities. This suggests that new theories have to be developed for the understanding of deep learning as…

Machine Learning · Computer Science 2021-12-08 Roozbeh Yousefzadeh , Jessica A. Mollick

Craig interpolation and uniform interpolation have many applications in knowledge representation, including explainability, forgetting, modularization and reuse, and even learning. At the same time, many relevant knowledge representation…

Artificial Intelligence · Computer Science 2025-12-10 Jean Christoph Jung , Patrick Koopmann , Matthias Knorr

This article aims at clarifying the language and practice of scientific experiment, mainly by hooking observability on calculability.

Artificial Intelligence · Computer Science 2007-05-23 Pierre Albarede

These lecture notes provide an introduction to free probability theory, with a focus on tools and techniques useful in the study of large random matrices. Topics include freeness, free cumulants, additive and multiplicative free…

Probability · Mathematics 2025-06-13 Vladislav Kargin

We define outliers as a set of observations which contradicts the proposed mathematical (statistical) model and we discuss the frequently observed types of the outliers. Further we explore what changes in the model have to be made in order…

Probability · Mathematics 2017-01-25 Lev B. Klebanov , Jaromir Antoch , Andrea Karlova , Ashot V. Kakosyan

We present an application of elimination theory to the study of singularities over arbitrary fields, particularly to the open problem of resolution. A partial extension of a function, defining resolution of singularities over fields of…

Algebraic Geometry · Mathematics 2007-12-24 Orlando Villamayor

Extremal Combinatorics is among the most active topics in Discrete Mathematics, dealing with problems that are often motivated by questions in other areas, including Theoretical Computer Science and Information Theory. This paper contains a…

Combinatorics · Mathematics 2020-09-29 Noga Alon