Matlab code for machine learning algorithms in book PRML

A MATLAB toolbox for exporting publication quality figures

Nonlinear Finite Element Code for structural applications with simplicity in mind.

multivariate Gaussian process regression and multivariate Student-t process regression

A curated list of resources dedicated to bayesian deep learning

Multi-output Least-Squares Support Vector Regressor

Bayesian Efficient Multiple Kernel Learning

Helper functions for coupling GAMS optimisation models with MATLAB for data I/O

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

The method of generalized regression regularization through PQSQ technique is presented. This approach includes lasso, elastic net and ridge regression as particular case.

Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).

book

ChiMerge: Discretization of Numeric Attributes

Bayesian Program Learning model for one-shot learning

This is a Matlab implementation of SMO based on the original work from JC Platt

Bayesian optimization in high-dimensions via random embedding.

Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.

the MATLAB core implementation of stochastic kriging project