Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

A machine learning algorithm for a low-speed primary coding algorithm based on automatic recognition of speech signal fragments (SS) using hidden Markov models (HMM) has been developed. When assessing ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

In this paper, we propose a machine learning-based automated framework for algorithm selection and configuration for MPC applications. This framework aids the online implementation of MPC by selecting ...

This study presents a theoretical framework that models LLMs as Markov chains, offering a structured approach to understanding their inference mechanisms. By deriving generalization bounds and ...

Machine learning refers to the use of advanced mathematical models, or algorithms, to process large volumes of data and gain insight without direct human instruction or involvement.

The Machine Learning model is a regression model that estimates the impact on revenue for each possible price configuration. These estimates are significant because they tell the Dynamic Pricing ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.  ...