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We introduce a framework for online structure theory. Our approach generalises notions arising independently in several areas of computability theory and complexity theory. We suggest a unifying approach using operators where we allow the…

Logic · Mathematics 2023-06-22 Rod Downey , Alexander Melnikov , Keng Meng Ng

The employment of micro-simulation (agent-based) tools in the phase of design of public and private spaces and facilities and for the definition of transport schemes that impact on pedestrian flows, thanks to their achieved accuracy and…

Multiagent Systems · Computer Science 2014-07-21 Mizar Luca Federici , Lorenza Manenti , Sara Manzoni

We develop a unified operator framework for scalar, multivariate, and functional regression based on integral operators defined with respect to general measures. Within this framework, classical regression models, including…

Methodology · Statistics 2026-05-13 Mark Carpenter , Nicholas Gaubatz

In this paper, we introduce a method of converting implicit equations to the usual forms of functions locally without differentiability. For a system of implicit equations which are equipped with continuous functions, if there are unique…

Classical Analysis and ODEs · Mathematics 2022-07-12 Kyung Soo Rim

With today's public data sets containing billions of data items, more and more companies are looking to integrate external data with their traditional enterprise data to improve business intelligence analysis. These distributed data sources…

Databases · Computer Science 2012-05-16 Ahmad Assaf , Eldad Louw , Aline Senart , Corentin Follenfant , Raphaël Troncy , David Trastour

Commercial establishments like restaurants, service centres and retailers have several sources of customer feedback about products and services, most of which need not be as structured as rated reviews provided by services like Yelp, or…

Computation and Language · Computer Science 2017-03-28 Vineet John

In this paper we consider the problems of supervised classification and regression in the case where attributes and labels are functions: a data is represented by a set of functions, and the label is also a function. We focus on the use of…

Machine Learning · Computer Science 2016-11-03 Hachem Kadri , Emmanuel Duflos , Philippe Preux , Stéphane Canu , Alain Rakotomamonjy , Julien Audiffren

We investigate the expressive power of spreadsheets. We consider spreadsheets which contain only formulas, and assume that they are small templates, which can be filled to a larger area of the grid to process input data of variable size.…

Programming Languages · Computer Science 2013-07-30 Jerzy Tyszkiewicz

Function is defined as the ensemble of tasks that enable the product to complete the designed purpose. Functional tools, such as functional modeling, offer decision guidance in the early phase of product design, where explicit design…

Machine Learning · Computer Science 2021-07-16 Vincenzo Ferrero , Kaveh Hassani , Daniele Grandi , Bryony DuPont

This paper explores the relationship between C++ templates and partial evaluation. Templates were designed to support generic programming, but unintentionally provided the ability to perform compile-time computations and code generation.…

Programming Languages · Computer Science 2007-05-23 Todd L. Veldhuizen

Since using environments that are made according to the service oriented architecture, we have more effective and dynamic applications. Semantic matchmaking process is finding valuable service candidates for substitution. It is a very…

Information Retrieval · Computer Science 2021-07-13 Golsa Heidari , Kamran Zamanifar

Using a dependently typed host language, we give a well scoped-and-typed by construction presentation of a minimal two level simply typed calculus with a static and a dynamic stage. The staging function partially evaluating the part of a…

Programming Languages · Computer Science 2024-01-12 Guillaume Allais

Nowadays many real-world datasets can be considered as functional, in the sense that the processes which generate them are continuous. A fundamental property of this type of data is that in theory they belong to an infinite-dimensional…

Machine Learning · Computer Science 2023-05-23 María Barroso , Carlos María Alaíz , Ángela Fernández , Jose Luis Torrecilla

We present a prototype online system to automate the procedure of computing different types of linear layouts of graphs under different user-specific constraints. Currently, four different types of linear layouts are supported: stack,…

Discrete Mathematics · Computer Science 2023-03-20 Michael A. Bekos , Mirco Haug , Michael Kaufmann , Julia Männecke

We propose a framework for descriptively analyzing sets of partial orders based on the concept of depth functions. Despite intensive studies of depth functions in linear and metric spaces, there is very little discussion on depth functions…

Machine Learning · Computer Science 2024-02-12 Hannah Blocher , Georg Schollmeyer , Christoph Jansen , Malte Nalenz

The notion of concept has been studied for centuries, by philosophers, linguists, cognitive scientists, and researchers in artificial intelligence (Margolis & Laurence, 1999). There is a large literature on formal, mathematical models of…

Artificial Intelligence · Computer Science 2021-01-14 Stephen Clark , Alexander Lerchner , Tamara von Glehn , Olivier Tieleman , Richard Tanburn , Misha Dashevskiy , Matko Bosnjak

Providing explanations along with predictions is crucial in some text processing tasks. Therefore, we propose a new self-interpretable model that performs output prediction and simultaneously provides an explanation in terms of the presence…

Machine Learning · Computer Science 2019-09-30 Diane Bouchacourt , Ludovic Denoyer

Traditional approaches to automatic AND-parallelization of logic programs rely on some static analysis to identify independent goals that can be safely and efficiently run in parallel in any possible execution. In this paper, we present a…

Programming Languages · Computer Science 2012-10-08 Germán Vidal

Electronic exams (e-exams) have the potential to substantially reduce the effort required for conducting an exam through automation. Yet, care must be taken to sacrifice neither task complexity nor constructive alignment nor grading…

Computers and Society · Computer Science 2023-08-17 Ole Lübke , Konrad Fuger , Fin Hendrik Bahnsen , Katrin Billerbeck , Sibylle Schupp

Explanations in Machine Learning come in many forms, but a consensus regarding their desired properties is yet to emerge. In this paper we introduce a taxonomy and a set of descriptors that can be used to characterise and systematically…

Machine Learning · Computer Science 2019-12-12 Kacper Sokol , Peter Flach