Optimal blending of multiple independent prediction models

1 code implementation • Frontiers in Artificial Intelligence 2023 • Peter Taraba

We derive blending coefficients for the optimal blend of multiple independent prediction models with normal (Gaussian) distribution as well as the variance of the final blend.

Linear Regression on a Set of Selected Templates from a Pool of Randomly Generated Templates

1 code implementation • Machine Learning with Applications 2021 • Peter Taraba

We study linear regression for two datasets.

regression

Clustering for Binary Featured Datasets

1 code implementation • Transactions on Engineering Technologies 2018 • Peter Taraba

Clustering is one of the most important concepts for unsupervised learning in machine learning.

BIG-bench Machine Learning Clustering

Powered Outer Probabilistic Clustering

1 code implementation • World Congress on Engineering and Computer Science 2017 2017 • Peter Taraba

Clustering is one of the most important concepts for unsupervised learning in machine learning.

BIG-bench Machine Learning Clustering

Optimal Control Mesh

1 code implementation • World Congress on Engineering and Computer Science 2012 2012 • Peter Taraba

The algorithm presented in this paper is an alternative to a set-oriented approach and subdivision algorithm for optimal control.