Publications related to Conditional variance

How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic, Jonathan Dan, Jérôme Paul Rémy Thevenot

Chronic cough disorders are widespread and challenging to assess because they rely on subjective patient questionnaires about cough frequency. Wearable devices running Machine Learning (ML) algorithms are promising for quantifying daily coughs, providing c ...

arXiv2024

Experimental Evaluation and Modeling of Residual Stress Distributions for Hot-Rolled Wide Flange Steel Members

Dimitrios Lignos, Albano António De Abreu E Presa De Castro E Sousa, Andronikos Skiadopoulos

Local and member instability modes in structural steel members are influenced by initial geometric imperfections and residual stresses among other parameters. The robustness of stability-related design provisions and finite element modeling procedures of s ...

2023

Stochastic distributed learning with gradient quantization and double-variance reduction

Sebastian Urban Stich, Konstantin Mishchenko

We consider distributed optimization over several devices, each sending incremental model updates to a central server. This setting is considered, for instance, in federated learning. Various schemes have been designed to compress the model updates in orde ...

TAYLOR & FRANCIS LTD2022

Influence of Spinal Cord Integrity on Gait Control in Human Spinal Cord Injury

Grégoire Courtine

Background. Clinical trials in spinal cord injury (SCI) primarily rely on simplified outcome metrics (ie, speed, distance) to obtain a global surrogate for the complex alterations of gait control. However, these assessments lack sufficient sensitivity to i ...

Sage Publications Inc2016

Sample and population exponents of generalized Taylor's law

Andrea Rinaldo, Andrea Giometto, Amos Maritan

Taylor's law (TL) states that the variance V of a nonnegative random variable is a power function of its mean M; i.e., V = aM(b). TL has been verified extensively in ecology, where it applies to population abundance, physics, and other natural sciences. It ...

Natl Acad Sciences2015

Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study

Jean-Baptiste Mignardot

Falls are common in the elderly, and potentially result in injury and disability. Thus, preventing falls as soon as possible in older adults is a public health priority, yet there is no specific marker that is predictive of the first fall onset. We hypothe ...

Frontiers Research Foundation2014

Evidences of Equal Error Rate Reduction in Biometric Authentication Fusion

Samy Bengio, Norman Hoon Thian Poh

Multimodal biometric authentication (BA) has shown perennial successes both in research and applications. This paper casts a light on why BA systems can be improved by fusing opinions of different experts, principally due to diversity of biometric modaliti ...

IDIAP2004

A statistical model to estimate variance in long term-low dose mutation assays: testing of the model in a human lymphoblastoid mutation assay

Pramod Rastogi, Stephan Morgenthaler

Long term-low dose mutation assays offer a means to study the genetic effects of environmental mutagens at concentrations relevant to human exposure. These assays involve continuous induction of mutants, serial dilution of cultures and sampling to determin ...

1989

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Conditional variance

How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance

Experimental Evaluation and Modeling of Residual Stress Distributions for Hot-Rolled Wide Flange Steel Members

Stochastic distributed learning with gradient quantization and double-variance reduction

Influence of Spinal Cord Integrity on Gait Control in Human Spinal Cord Injury

Sample and population exponents of generalized Taylor's law

Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study

Development of probability distributions for regional climate change from uncertain global mean warming and an uncertain scaling relationship

Evidences of Equal Error Rate Reduction in Biometric Authentication Fusion

A statistical model to estimate variance in long term-low dose mutation assays: testing of the model in a human lymphoblastoid mutation assay

Graph Chatbot

Chat with Graph Search

Sample and population exponents of generalized Taylor's law

Experimental Evaluation and Modeling of Residual Stress Distributions for Hot-Rolled Wide Flange Steel Members

Stochastic distributed learning with gradient quantization and double-variance reduction

Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study

Influence of Spinal Cord Integrity on Gait Control in Human Spinal Cord Injury

A statistical model to estimate variance in long term-low dose mutation assays: testing of the model in a human lymphoblastoid mutation assay

Development of probability distributions for regional climate change from uncertain global mean warming and an uncertain scaling relationship

Evidences of Equal Error Rate Reduction in Biometric Authentication Fusion