The Matrix Model, developed by the Matrix Institute (now CLARE|MATRIX), is one of the few treatment models specifically designed to address the needs of individuals with stimulant-use disorders. This ...

How does scientific model-building influence the energy transition – and with it our future? Models, and how they are presented, determine our thinking, but their foundations often ...

Markov state models (MSM) are a popular statistical method for analyzing the conformational dynamics of proteins including protein folding. With all statistical and machine learning (ML) models, ...

Researchers developed a way to quickly calculate the transition state structure of a chemical reaction, using machine-learning models.

Aalem, O.O. and Johansen, S. (1978) An Empirical Transition Matrix for Non-Homogeneous Markov Chains Based on Censored Observation. Scandinavian Journal of Statistics, 5, 141-150.

Markov chain models can accurately capture the transition probabilities between affective states and provide a powerful tool to analyze the underlying dynamics.

The current JS application is a detector that uses observation sequences to construct the transition matrices for two models, which are merged into a single log-likelihood matrix (LLM). A scanner can ...