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We present an abstract unifying framework for interpreting Stone-type dualities; several known dualities are seen to be instances of just one topos-theoretic phenomenon, and new dualities are introduced. In fact, infinitely many new…

Category Theory · Mathematics 2011-04-06 Olivia Caramello

We develop a new semantics for defeasible inference based on extended probability measures allowed to take infinitesimal values, on the interpretation of defaults as generalized conditional probability constraints and on a preferred-model…

Artificial Intelligence · Computer Science 2013-02-21 Emil Weydert

Some notes and observations on analytic functions defined on an annulus

Complex Variables · Mathematics 2011-05-17 Pietro Poggi-Corradini

Being able to interpret, or explain, the predictions made by a machine learning model is of fundamental importance. This is especially true when there is interest in deploying data-driven models to make high-stakes decisions, e.g. in…

Machine Learning · Computer Science 2019-10-01 An-phi Nguyen , María Rodríguez Martínez

We develop some nonstandard techniques for bornological and coarse spaces. We first generalise the notion of bornology to prebornology, which better fits to coarse spaces. We then give nonstandard characterisations of some basic large-scale…

General Topology · Mathematics 2019-06-25 Takuma Imamura

We construct a new bounded functional calculus for the generators of bounded semigroups on Hilbert spaces and generators of bounded holomorphic semigroups on Banach spaces. The calculus is a natural (and strict) extension of the classical…

Functional Analysis · Mathematics 2019-10-18 Charles Batty , Alexander Gomilko , Yuri Tomilov

In a striking neuroscience study, the authors placed a dead salmon in an MRI scanner and showed it images of humans in social situations. Astonishingly, standard analyses of the time reported brain regions predictive of social emotions. The…

Artificial Intelligence · Computer Science 2025-12-23 Maxime Méloux , Giada Dirupo , François Portet , Maxime Peyrard

Deep neural networks have been well-known for their superb handling of various machine learning and artificial intelligence tasks. However, due to their over-parameterized black-box nature, it is often difficult to understand the prediction…

Machine Learning · Computer Science 2022-07-18 Xuhong Li , Haoyi Xiong , Xingjian Li , Xuanyu Wu , Xiao Zhang , Ji Liu , Jiang Bian , Dejing Dou

The notion of Grothendieck topos may be considered as a generalisation of that of topological space, one in which the points of the space may have non-trivial automorphisms. However, the analogy is not precise, since in a topological space,…

Category Theory · Mathematics 2011-10-18 Richard Garner

Despite decades of engineering and scientific research efforts, separation of concerns in software development remains not fully achieved. The challenge has been to avoid the crosscutting of concerns phenomenon, which has no apparent…

Software Engineering · Computer Science 2021-10-11 Júlio G. S. F. da Costa , Reinaldo A. Petta , Samuel Xavier-de-Souza

Interpretability of a predictive model is a powerful feature that gains the trust of users in the correctness of the predictions. In word sense disambiguation (WSD), knowledge-based systems tend to be much more interpretable than…

Computation and Language · Computer Science 2018-05-21 Alexander Panchenko , Fide Marten , Eugen Ruppert , Stefano Faralli , Dmitry Ustalov , Simone Paolo Ponzetto , Chris Biemann

We present a formal definition of superoscillating function. We discuss the limitations of previously proposed definitions and illustrate that they do not cover the full gamut of superoscillatory behaviours. We demonstrate the suitability…

Quantum Physics · Physics 2024-03-20 Yu Li , José Polo-Gómez , Eduardo Martín-Martínez

The object of this lecture is to propose a series of conjectures and problems in different fields of analysis. They have been formulated with the aim of introducing some innovative methods in the study of classical topics, as open mappings,…

Functional Analysis · Mathematics 2007-05-23 Biagio Ricceri

We introduce POLAR - a framework that adds interpretability to pre-trained word embeddings via the adoption of semantic differentials. Semantic differentials are a psychometric construct for measuring the semantics of a word by analysing…

Computation and Language · Computer Science 2020-01-29 Binny Mathew , Sandipan Sikdar , Florian Lemmerich , Markus Strohmaier

In this paper we provide a probabilistic interpretation for typed feature structures very similar to those used by Pollard and Sag. We begin with a version of the interpretation which lacks a treatment of re-entrant feature structures, then…

cmp-lg · Computer Science 2016-08-31 Chris Brew

Let M be a transitive model of set theory. There is a canonical interpretation functor between the category of regular Hausdorff, continuous open images of Cech-complete spaces of M and the same category in V, preserving many concepts of…

Logic · Mathematics 2017-11-27 Jindrich Zapletal

Semantic subtyping is an approach to define subtyping relations for type systems featuring union and intersection type connectives. It has been studied only for strict languages, and it is unsound for non-strict semantics. In this work, we…

Programming Languages · Computer Science 2021-11-15 Tommaso Petrucciani , Giuseppe Castagna , Davide Ancona , Elena Zucca

The objections raised by Vilar and Rubi [cond-mat arXiv:0707.3802v1] against the definition of the thermodynamical work appearing in Jarzynski's equality are shown to be misleading and inconsistent.

Statistical Mechanics · Physics 2008-05-07 Luca Peliti

Smarandache (2003) introduced a new set-valued fuzzy logic called (nonstandard) neutrosophic logic by using Robinson's nonstandard analysis. However, its definition involved many errors including the illegal use of nonstandard analysis. In…

General Mathematics · Mathematics 2022-08-19 Takuma Imamura

This paper describes the new TPTP format for representing interpretations. It provides a background survey that helped us ensure that the representation format is adequate for different types of interpretations: Tarskian, Herbrand, and…

Logic in Computer Science · Computer Science 2024-06-11 Geoff Sutcliffe , Alexander Steen , Pascal Fontaine