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Related papers: PyTSK: A Python Toolbox for TSK Fuzzy Systems

200 papers

The $\texttt{torch-choice}$ is an open-source library for flexible, fast choice modeling with Python and PyTorch. $\texttt{torch-choice}$ provides a $\texttt{ChoiceDataset}$ data structure to manage databases flexibly and…

Machine Learning · Computer Science 2025-06-05 Tianyu Du , Ayush Kanodia , Susan Athey

To effectively handle clustering task for large-scale datasets, we propose a novel scalable skeleton clustering algorithm, namely GBSK, which leverages the granular-ball technique to capture the underlying structure of data. By…

Machine Learning · Computer Science 2025-09-30 Yewang Chen , Junfeng Li , Shuyin Xia , Qinghong Lai , Xinbo Gao , Guoyin Wang , Dongdong Cheng , Yi Liu , Yi Wang

PHYSBO (optimization tools for PHYSics based on Bayesian Optimization) is a Python library for fast and scalable Bayesian optimization. It has been developed mainly for application in the basic sciences such as physics and materials…

Computational Physics · Physics 2022-05-26 Yuichi Motoyama , Ryo Tamura , Kazuyoshi Yoshimi , Kei Terayama , Tsuyoshi Ueno , Koji Tsuda

PySensors is a Python package for selecting and placing a sparse set of sensors for classification and reconstruction tasks. Specifically, PySensors implements algorithms for data-driven sparse sensor placement optimization for…

Signal Processing · Electrical Eng. & Systems 2021-03-01 Brian M. de Silva , Krithika Manohar , Emily Clark , Bingni W. Brunton , Steven L. Brunton , J. Nathan Kutz

A Python package for post-processing of plane two-dimensional data from computational fluid dynamics simulations is presented. The package, called turbulucid, provides means for scripted, reproducible analysis of large simulation campaigns…

Computational Engineering, Finance, and Science · Computer Science 2018-07-26 Timofey Mukha

This paper presents an advanced mathematical analysis and simplification of the quadratic programming problem arising from fuzzy clustering with generalized capacity constraints. We extend previous work by incorporating broader balancing…

General Mathematics · Mathematics 2024-11-13 Roger Macedo

PySCF is a general-purpose electronic structure platform designed from the ground up to emphasize code simplicity, both to aid new method development, as well as for flexibility in computational workflow. The package provides a wide range…

We explore the possibility of improving probabilistic models in structured prediction. Specifically, we combine the models with constrained decoding approaches in the context of token classification for information extraction. The decoding…

Computation and Language · Computer Science 2023-12-07 Arthur Hemmer , Mickaël Coustaty , Nicola Bartolo , Jérôme Brachat , Jean-Marc Ogier

This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy inference systems (FIS) using five well known computational frameworks: genetic-fuzzy systems (GFS), neuro-fuzzy systems (NFS), hierarchical fuzzy…

Artificial Intelligence · Computer Science 2019-08-28 Varun Ojha , Ajith Abraham , Vaclav Snasel

In this study, we present an Evolving Fuzzy System within the context of Federated Learning, which adapts dynamically with the addition of new clusters and therefore does not require the number of clusters to be selected apriori. Unlike…

Machine Learning · Computer Science 2025-08-22 Miha Ožbot , Igor Škrjanc

We introduce Fuzzy PyTorch, a framework for rapid evaluation of numerical variability in deep learning (DL) models. As DL is increasingly applied to diverse tasks, understanding variability from floating-point arithmetic is essential to…

Machine Learning · Computer Science 2026-05-26 Inés Gonzalez-Pepe , Hiba Akhaddar , Tristan Glatard , Yohan Chatelain

We present the Python Tree Tensor Network package (pyTTN) for the evaluation of dynamical properties of closed and open quantum systems that makes use of Tree Tensor Network (TTN), or equivalently the multi-layer multiconfiguration…

Quantum Physics · Physics 2025-03-20 Lachlan P Lindoy , Daniel Rodrigo-Albert , Yannic Rath , Ivan Rungger

Imbalanced-learn is an open-source python toolbox aiming at providing a wide range of methods to cope with the problem of imbalanced dataset frequently encountered in machine learning and pattern recognition. The implemented…

Machine Learning · Computer Science 2016-09-22 Guillaume Lemaitre , Fernando Nogueira , Christos K. Aridas

In this paper, we introduce the Python framework PyMGRIT, which implements the multigrid-reduction-in-time (MGRIT) algorithm for solving the (non-)linear systems arising from the discretization of time-dependent problems. The MGRIT…

Mathematical Software · Computer Science 2020-08-13 Jens Hahne , Stephanie Friedhoff , Matthias Bolten

Clustering is one of the widely used data mining techniques for medical diagnosis. Clustering can be considered as the most important unsupervised learning technique. Most of the clustering methods group data based on distance and few…

Machine Learning · Computer Science 2012-12-24 K. Dhanalakshmi , H. Hannah Inbarani

We present an open-source tensor network Python library for quantum many-body simulations. At its core is an abelian-symmetric tensor, implemented as a sparse block structure managed by logical layer on top of dense multi-dimensional array…

Strongly Correlated Electrons · Physics 2025-03-05 Marek M. Rams , Gabriela Wójtowicz , Aritra Sinha , Juraj Hasik

In regression problems, the use of TSK fuzzy systems is widely extended due to the precision of the obtained models. Moreover, the use of simple linear TSK models is a good choice in many real problems due to the easy understanding of the…

Machine Learning · Computer Science 2015-07-20 I. Rodríguez-Fdez , M. Mucientes , A. Bugarín

TBTK is a software development kit for quantum mechanical calculations and is designed to enable the development of applications that investigate problems formulated on second-quantized form. It also enables method developers to create…

Quantum Physics · Physics 2019-03-12 Kristofer Björnson

This system paper documents the technical foundations for the extension of the Topology ToolKit (TTK) to distributed-memory parallelism with the Message Passing Interface (MPI). While several recent papers introduced topology-based…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-16 Eve Le Guillou , Michael Will , Pierre Guillou , Jonas Lukasczyk , Pierre Fortin , Christoph Garth , Julien Tierny

Since their introduction, fuzzy sets and systems have become an important area of research known for its versatility in modelling, knowledge representation and reasoning, and increasingly its potential within the context explainable AI.…

Artificial Intelligence · Computer Science 2024-03-20 Chao Chen , Christian Wagner , Jonathan M. Garibaldi