There are 0 repository under rough-sets topic.
Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.
An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection
Rough Set Python Package is a Python library that provides a set of tools to calculate rough sets and obtain reduct rules.
A small demo Python implementation of some (fuzzy) roughset algorithms such as LEM2
Meta learning framework based on rough set measures
Implementation of Rough Computing concepts
Distributed Rough Set Theory for Feature Selection
Implementation of Hybrid fuzzy-rough Rule induction and feature selection paper 2009 by Richard Jensen
Artificial data set generator for machine learning purpose
Framework for developing fuzzy and fuzzy-rough classification models for multiple instance data
Rough set class library for machine learning
An accountant for transactional data
A skin cancer diagnosis system using CNN and LSTM analyzes sequential images of skin lesions. This combines image analysis with temporal data, aiding in early detection and monitoring of skin conditions.
Work on combining Logit model with an information granulation method for better interpretability
Implementation of "Applying FOSS Support Vector Machine and Rough Sets on COVID-19 Cases Triage"
NRough - Rough Sets and Machine Learning Framework in .NET
The need for missing value imputation is of extreme importance in big data applications as data volumes tend to grow exponentially and their data structures change rapidly.
Floats may be unmarked, marked or remarked without slowing computations.
Implementação da biblioteca Scikit-Learn para uso de aprendizado de máquina