Many of the insights hitting soccer pitches today trace back to Jesse Davis and a team of computer scientists open-sourcing tools for some of the sport’s trickiest problems.

The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...

To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating Markov ...

Individuals in the midst of a mental health crisis frequently exhibit instability and face an elevated risk of recurring crises in the subsequent weeks, which underscores the importance of timely ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Markov state models (MSM) are a popular statistical method for analyzing the ...

Abstract: Ransomware poses a deadly threat to any device system and organization. Several studies and techniques are proposed in response to a dire need for a solution to detect ransomware in the ...

Abstract: The next generation of Artificial Superintelligence (ASI) poses a variety of important societal problems, including the possible crises and upheavals of the AI machine, which could cause ...

CGMM is a generative approach to learning contexts in graphs. It combines information diffusion and local computation through the use of a deep architecture and stationarity assumptions. The model ...

A Hidden Markov Model (HMM) is a statistical model which is also used in machine learning. It can be used to describe the evolution of observable events that depend on internal factors, which are not ...