Early detection of cardiac abnormalities through ECG signal analysis is crucial for improving patient outcomes. This study evaluates machine learning techniques—K-Nearest Neighbor (KNN), Support ...

It’s precise: with a good-quality photo, it can identify the exact match in the top three results 95% of the time. With images of both sides of a fish’s face, the accuracy jumps to 99%.

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

To attempt to identify variants with further improved potency, we first curated a data set including the IC 50 fold-change mutagenesis data collected to date and utilized the paired sequence-IC 50 ...

The machine-learning revenue-optimisation program he led impacted multibillion-dollar annual recurring revenue. Deal-level conversion rates for enterprise opportunities rose by ≈ 15 per cent, while ...

There's a growing push for Caitlin Clark to "leave" the WNBA following Tuesday night's incident. Clark, the No. 1 overall pick in the 2024 WNBA Draft, was involved in a bit of a brawl on Tuesday ...

At Baylor, the laboratory of Olivier Lichtarge, MD, PhD, used its evolutionary action-machine learning (EAML) framework to analyze the exome sequencing data and prioritize genes with high-impact ...

— The bluffs in Isla Vista are a prime example of how erosion is speeding up along California's coastline. There is a growing threat to coastal homes because of rising sea levels and climate change.

“With our machine learning framework, we are not only identifying whether a variant occurs frequently, but also, using evolutionary data across all species, we are weighing the likelihood the variant ...

In this paper, we investigate the use of the spontaneous speech of dysarthric people for training an automatic speech recognition (ASR) model for them. Although the spontaneous speech of dysarthric ...

Article citations More>> Bishop, C. (2006) Pattern Recognition and Machine Learning. Springer. has been cited by the following article: TITLE: An Evaluation of Machine Learning Models for Threat ...

Integrative exome sequencing and machine learning identify new genes contributing to systemic sclerosis risk by Molly Chiu, Baylor College of Medicine edited by Robert Egan Editors' notes ...