An embedded vertical‐federated feature selection algorithm based on particle swarm optimisation
In real life, a large amount of data describing the same learning task may be stored in
different institutions (called participants), and these data cannot be shared among …
different institutions (called participants), and these data cannot be shared among …
Wrapper methods for multi-objective feature selection
The ongoing data boom has democratized the use of data for improved decision-making.
Beyond gathering voluminous data, preprocessing the data is crucial to ensure that their …
Beyond gathering voluminous data, preprocessing the data is crucial to ensure that their …
A Multiobjective Genetic Approach with TOPSIS to Learn Fuzzy Rule-Based Classification Systems
AE de Oliveira Araujo… - 2019 8th Brazilian …, 2019 - ieeexplore.ieee.org
The design of a Fuzzy Rule-Based Classification System (FRBCS) taking into account
accuracy and interpretability (number of rules) of the FRBCS is an important issue. In this …
accuracy and interpretability (number of rules) of the FRBCS is an important issue. In this …