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Apache Spark is a popular open-source platform for large-scale data processing that is well-suited for iterative machine learning tasks. In this paper we present MLlib, Spark's open-source distributed machine learning library. MLlib…

We construct cubature methods on scattered data via resampling on the support of known algebraic cubature formulas, by different kinds of adaptive interpolation (polynomial, RBF, PUM). This approach gives a promising alternative to other…

Numerical Analysis · Mathematics 2023-07-17 R. Cavoretto , F. Dell'Accio , A. De Rossi , F. Di Tommaso , N. Siar , A. Sommariva , M. Vianello

We address the question of aggregating the preferences of voters in the context of participatory budgeting. We scrutinize the voting method currently used in practice, underline its drawbacks, and introduce a novel scheme tailored to this…

Computer Science and Game Theory · Computer Science 2020-09-16 Ashish Goel , Anilesh K. Krishnaswamy , Sukolsak Sakshuwong , Tanja Aitamurto

In recent years participatory budgeting (PB) in Scotland has grown from a handful of community-led processes to a movement supported by local and national government. This is epitomized by an agreement between the Scottish Government and…

Computation and Language · Computer Science 2021-11-24 Jonathan Davies , Miguel Arana-Catania , Rob Procter , Felix-Anselm van Lier , Yulan He

We describe Active Libraries, which take an active role in compilation. Unlike traditional libraries which are passive collections of functions and objects, Active Libraries may generate components, specialize algorithms, optimize code,…

Numerical Analysis · Mathematics 2025-10-20 Todd L. Veldhuizen , Dennis Gannon

This paper presents COREALMLIB, an ALM library of commonsense knowledge about dynamic domains. The library was obtained by translating part of the COMPONENT LIBRARY (CLIB) into the modular action language ALM. CLIB consists of general…

Artificial Intelligence · Computer Science 2016-08-15 Daniela Inclezan

libact is a Python package designed to make active learning easier for general users. The package not only implements several popular active learning strategies, but also features the active-learning-by-learning meta-algorithm that assists…

Machine Learning · Computer Science 2017-10-03 Yao-Yuan Yang , Shao-Chuan Lee , Yu-An Chung , Tung-En Wu , Si-An Chen , Hsuan-Tien Lin

DESlib is an open-source python library providing the implementation of several dynamic selection techniques. The library is divided into three modules: (i) \emph{dcs}, containing the implementation of dynamic classifier selection methods…

Machine Learning · Computer Science 2020-03-06 Rafael M. O. Cruz , Luiz G. Hafemann , Robert Sabourin , George D. C. Cavalcanti

Pattern database (PDB) is one of the most popular automated heuristic generation techniques. A PDB maps states in a planning task to abstract states by considering a subset of variables and stores their optimal costs to the abstract goal in…

Artificial Intelligence · Computer Science 2024-10-15 Yufeng Zou

Bibliometric and Scientometric analyses offer invaluable perspectives on the complex research terrain and collaborative dynamics spanning diverse academic disciplines. This paper presents pyBibX, a python library devised to conduct…

Digital Libraries · Computer Science 2025-01-29 Valdecy Pereira , Marcio Pereira Basilio , Carlos Henrique Tarjano Santos

This paper introduces PolyDiM, an open-source C++ library tailored for the development and implementation of polytopal discretization methods for partial differential equations. The library provides robust and modular tools to support…

Numerical Analysis · Mathematics 2025-05-21 Stefano Berrone , Andrea Borio , Gioana Teora , Fabio Vicini

We introduce \texttt{pycobra}, a Python library devoted to ensemble learning (regression and classification) and visualisation. Its main assets are the implementation of several ensemble learning algorithms, a flexible and generic interface…

Computation · Statistics 2019-05-24 Benjamin Guedj , Bhargav Srinivasa Desikan

Motivation: Novel machine learning and statistical modeling studies rely on standardized comparisons to existing methods using well-studied benchmark datasets. Few tools exist that provide rapid access to many of these datasets through a…

Participatory Educational Research journal is one of the journals that contributes to the field of education and indexed in major international databases such as ERIC and Scopus.This study provides the bibliometric characteristic of the…

Digital Libraries · Computer Science 2022-03-23 Rumiye Arslan , Keziban Orbay , Metin Orbay

Traditionally, mathematical knowledge is published in printed media such as books or journals. With the advent of the Internet, a new method of publication became available. To date, however, most online mathematical publications do not…

History and Overview · Mathematics 2011-03-01 Markus J. Pflaum , John Tuley

Active inference is an account of cognition and behavior in complex systems which brings together action, perception, and learning under the theoretical mantle of Bayesian inference. Active inference has seen growing applications in…

Artificial Intelligence · Computer Science 2022-05-06 Conor Heins , Beren Millidge , Daphne Demekas , Brennan Klein , Karl Friston , Iain Couzin , Alexander Tschantz

With an exponentially growing number of scientific papers published each year, advanced tools for exploring and discovering publications of interest are becoming indispensable. To empower users beyond a simple keyword search provided e.g.…

Information Retrieval · Computer Science 2017-06-27 Franziska Horn

While several public institutions provide its data openly, the effort required to access, integrate and query this data is too high, reducing the amount of possible dataset users. The Blended Integrated Open Data (BIOD) project has as…

We introduce Edu-ConvoKit, an open-source library designed to handle pre-processing, annotation and analysis of conversation data in education. Resources for analyzing education conversation data are scarce, making the research challenging…

Computation and Language · Computer Science 2024-02-08 Rose E. Wang , Dorottya Demszky

As deep learning technology advances and more urban spatial-temporal data accumulates, an increasing number of deep learning models are being proposed to solve urban spatial-temporal prediction problems. However, there are limitations in…

Machine Learning · Computer Science 2024-03-08 Jiawei Jiang , Chengkai Han , Wenjun Jiang , Wayne Xin Zhao , Jingyuan Wang
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