Flowering plant origins: Dosage-sensitive genes suggest no whole-genome duplications in ancestral angiosperm

Angiosperms, also known as flowering plants, represent the most diverse group of seed plants, and their origin and evolution ...
EurekAlert!

Turning noisy city signals into reliable smartphone positioning

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, ...
Earth.com

Largest protein classification in history finds 700,000 unknown structures

Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique to humans.
IEEE

ProBoost: Reducing Uncertainty Using a Boosting Method for Probabilistic Models

Abstract: Uncertainty analysis of classification or regression models is a key feature of probabilistic approaches to supervised learning, allowing the assessment of how trustworthy predictions are.
IEEE

A Probabilistic Method for Hierarchical Multisubject Classification of Documents based on Multilingual Subject Term Vocabularies

Abstract: Hierarchical Multilabel Classification (HMC) is a challenging task in information retrieval, especially within scientific textbooks, where the objective is to allocate multiple labels ...
Frontiers

Research on probabilistic inference methods for power grid icing risk assessment: a systematic analysis incorporating ultra-high voltage line ratios

Introduction: Power grid icing is a severe natural hazard that threatens the safe and stable operation of power systems. With the expansion of ultra-high voltage (UHV) power grids, systematic ...
Frontiers

Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm

1 School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India 2 Centre for e-Automation Technologies, Vellore Institute of Technology, Chennai, India Introduction: Friction Stir ...
Scientific Research Publishing

MacQueen, J. (1967). Some Methods for Classification and Analysis of Multivariate Observations. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and ...

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...
Scientific Research Publishing

Platt, J.C., et al. (1999) Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods. Advances in Large Margin Classifiers, 10, 61-74.

ABSTRACT: Node of network has lots of information, such as topology, text and label information. Therefore, node classification is an open issue. Recently, one vector of node is directly connected at ...