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Explainer videos are increasingly used to support science learning. While prior research has demonstrated their potential, studies have also identified limitations - particularly their tendency to foster an illusion of understanding, where…

Physics Education · Physics 2026-04-28 Madeleine Hörnlein , Christoph Kulgemeyer

Classification is an important goal in many branches of mathematics. The idea is to describe the members of some class of mathematical objects, up to isomorphism or other important equivalence in terms of relatively simple invariants. Where…

Logic · Mathematics 2008-03-25 Wesley Calvert , Julia F. Knight

This article surveys recent advances in applying algebraic techniques to constraint satisfaction problems.

Logic in Computer Science · Computer Science 2007-05-23 Hubie Chen

A novel type of approximants is introduced, being based on the ideas of self-similar approximation theory. The method is illustrated by the examples possessing the structure typical of many problems in applied mathematics. Good numerical…

Mathematical Physics · Physics 2017-02-03 S. Gluzman , V. I. Yukalov

An extension to classical unification, called {\em graded unification} is presented. It is capable of combining contradictory information. An interactive processing paradigm and parser based on this new operator are also presented.

cmp-lg · Computer Science 2008-02-03 Albert Kim

A problem of bounding the generalization error of a classifier f in H, where H is a "base" class of functions (classifiers), is considered. This problem frequently occurs in computer learning, where efficient algorithms of combining simple…

Probability · Mathematics 2007-06-13 Vladimir Koltchinskii , Dmitry Panchenko , Fernando Lozano

The goal of this article is to invite the reader to get to know and to get involved into higher Teichm\"uller theory by describing some of its many facets.

Geometric Topology · Mathematics 2018-03-20 Anna Wienhard

Some early chapters of the upcoming book "Polyfold Constructions: Tools, Techniques, and Functors"

Symplectic Geometry · Mathematics 2018-08-16 Joel W. Fish , Helmut Hofer

We propose reinterpreting copula density estimation as a discriminative task. Under this novel estimation scheme, we train a classifier to distinguish samples from the joint density from those of the product of independent marginals,…

Methodology · Statistics 2025-03-20 David Huk , Mark Steel , Ritabrata Dutta

In this chapter, we propose some future directions of work, potentially beneficial to Mathematics and its foundations, based on the recent import of methodology from the theory of programming languages into proof theory. This scientific…

Logic · Mathematics 2019-05-21 Danko Ilik

If you want to tell people the truth, make them laugh, otherwise they'll kill you. (source unclear) Machine learning and deep learning are the technologies of the day for developing intelligent automatic systems. However, a key hurdle for…

Machine Learning · Computer Science 2019-01-08 Fayyaz Minhas , Amina Asif , Asa Ben-Hur

Analyzed models of learning, which take into account that: 1) the rate of increase of student's knowledge is proportional to the difference between levels of teacher's requirements and prior knowledge; 2) if the requirements are too high,…

Other Computer Science · Computer Science 2013-12-10 R. V. Mayer

We formulate a generalization of a `refined class number formula' of Darmon. Our conjecture deals with Stickelberger-type elements formed from generalized Stark units, and has two parts: the `order of vanishing' and the `leading term'.…

Number Theory · Mathematics 2013-12-17 Barry Mazur , Karl Rubin

We introduce layer systems for proving generalizations of the modularity of confluence for first-order rewrite systems. Layer systems specify how terms can be divided into layers. We establish structural conditions on those systems that…

Logic in Computer Science · Computer Science 2015-02-10 Bertram Felgenhauer , Aart Middeldorp , Harald Zankl , Vincent van Oostrom

This note discusses proofs for convergence of first-order methods based on simple potential-function arguments. We cover methods like gradient descent (for both smooth and non-smooth settings), mirror descent, and some accelerated variants.

Machine Learning · Computer Science 2019-06-04 Nikhil Bansal , Anupam Gupta

A comment on a misleading statement contained in [Phys. Rev. A 97, 062115 (2018)]. v2: a typo corrected

Quantum Physics · Physics 2018-07-17 Marcin Wieśniak

These exercises complement my notes "Derived categories, resolutions, and Brown representability".

K-Theory and Homology · Mathematics 2007-05-23 Henning Krause

This text highlights issues present in the proof of Lemma 6.10 of the Baumgartner (1943 -- 2011) article "Almost disjoint sets, the dense set problem and the partition calculus" of 1976, and intends to present a correction at the same time…

Logic · Mathematics 2026-03-26 Júnio Luan Pereira

Rejoinder to "Multiple Testing for Exploratory Research" by J. J. Goeman, A. Solari [arXiv:1208.2841].

Methodology · Statistics 2012-08-17 Jelle J. Goeman , Aldo Solari

Theory of $n$-complements with applications is presented.

Algebraic Geometry · Mathematics 2020-12-14 V. V. Shokurov
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