Results 61 to 70 of about 318,408 (265)
Space-time generalization of mutual information
Journal of High Energy PhysicsThe mutual information characterizes correlations between spatially separated regions of a system. Yet, in experiments we often measure dynamical correlations, which involve probing operators that are also separated in time.
Paolo Glorioso +2 more
doaj +1 more source
Machine Learning with Squared-Loss Mutual Information
Entropy, 2012 Mutual information (MI) is useful for detecting statistical independence between random variables, and it has been successfully applied to solving various machine learning problems.
Masashi Sugiyama
doaj +1 more source
Interpreting the effects of DNA polymerase variants at the structural level
Molecular Oncology, EarlyView.Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
B-spline mutual information independent component analysis [PDF]
, 2010 Mutual Information is one of the most natural criteria when developing independent component analysis (ICA). Although utilized to some level it has always been difficult to calculate.
Li, Yan, Walters-Williams, Janett
core
Improved Neural Networks Based on Mutual Information via Information Geometry
Algorithms, 2019 This paper presents a new algorithm based on the theory of mutual information and information geometry. This algorithm places emphasis on adaptive mutual information estimation and maximum likelihood estimation.
Meng Wang +5 more
doaj +1 more source
Weighted Mutual Information for Aggregated Kernel Clustering
Entropy, 2020 Background: A common task in machine learning is clustering data into different groups based on similarities. Clustering methods can be divided in two groups: linear and nonlinear. A commonly used linear clustering method is K-means.
Nezamoddin N. Kachouie, Meshal Shutaywi
doaj +1 more source
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
FEBS Open Bio, EarlyView.We first identified functional murine mitochondrial N‐formyl peptides (MT‐FPs) and investigated their effects on the in vitro myeloid‐derived suppressor cell (MDSC) generation from bone marrow cells. We demonstrated that MT‐FPs acted directly on bone marrow cells to promote MDSC generation and modulated the polymorphonuclear (PMN)‐MDSC/monocyte (M ...
Miyako Ozawa +2 more
wiley +1 more source
FEBS Open Bio, EarlyView.This study investigated a novel WST‐8‐based assay for evaluating d‐Amino acid oxidase (DAO) inhibitors. We confirmed its effectiveness using known inhibitors and found that uremic toxins possess relatively weak inhibitory activity compared to existing drugs.
Kahoko Miyake +4 more
wiley +1 more source
Risk-adjusted performance, selectivity, timing ability and performance persistence of Hong Kong mutual funds [PDF]
, 2007 This paper examines the performance of thirty Hong Kong mutual funds during the period from August 1995 to July 2005. The issues of risk-adjusted performance, selectivity, timing ability and performance persistence are addressed.
Kuang, Y, Abdel-Kader, MG
core +1 more source