Abstract: Tropical geometry is a relatively recent field in mathematics and computer science, combining elements of algebraic geometry and polyhedral geometry. The scalar arithmetic of its analytic ...

This story originally appeared in the winter 2025 issue of UC San Diego Magazine as “Made Possible By AI, And Those Who Dream Big.” The rise of artificial intelligence has already transformed every ...

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 ...

Main Idea: This paper claims that a Recurrent Neural Network can learn from data to decode noisy signal over Additive White Gaussian Noise (AWGN) Channel as good as Viterbi and BCJR algorithm.

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...

We are living in a historic period where artificial intelligence (AI) machine learning provides the foundation to rapidly transform human health and wellness. A new peer-reviewed study by researchers ...

Abstract: In this paper, we present an approach to the online implementation of a gait event detector based on machine learning algorithms. Gait events were detected using a uniaxial gyro that ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Summary: Nostalgic music activates brain areas linked to memory, reward, and self-processing. This discovery could help improve the quality of life for those with dementia. The study shows that music ...

The EM algorithm is based on Yu (2010) (Section 3.1, 2.2.1 & 2.2.2), while the Viterbi algorithm is based on Benouareth et al. (2008).

Machine learning is the study of intelligent machines that can learn from data and anticipate future outcomes. One of the most important components of machine learning is dealing with uncertainty, ...