[图书][B] Conformal prediction for reliable machine learning: theory, adaptations and applications
The conformal predictions framework is a recent development in machine learning that can
associate a reliable measure of confidence with a prediction in any real-world pattern …
associate a reliable measure of confidence with a prediction in any real-world pattern …
Metaheuristic techniques for support vector machine model selection
J Blondin, A Saad - 2010 10th International Conference on …, 2010 - ieeexplore.ieee.org
The classification accuracy of a Support Vector Machine is dependent upon the specification
of model parameters. The problem of finding these parameters, called the model selection …
of model parameters. The problem of finding these parameters, called the model selection …
The study of characteristics of the hybrid particle swarm algorithm in solution of the global optimization problem
L Demidova, I Klyueva, A Pylkin - 2016 5th Mediterranean …, 2016 - ieeexplore.ieee.org
The present paper considers convergence characteristics of the particle swarm algorithm
and its modification-the hybrid PSO-GS algorithm obtained under combination of the PSO …
and its modification-the hybrid PSO-GS algorithm obtained under combination of the PSO …
[PDF][PDF] Evolving kernel functions with particle swarms and genetic programming
Abstract The Support Vector Machine has gained significant popularity over recent years as
a kernel-based supervised learning technique. However, choosing the appropriate kernel …
a kernel-based supervised learning technique. However, choosing the appropriate kernel …