Results 21 to 30 of about 100,335 (213)

Geotechnical uncertainty, modeling, and decision making

open access: yesSoils and Foundations, 2022
Modeling only constitutes one aspect of decision making. The prevailing limitation of applying modeling to practice is the absence of explicit consideration of uncertainties.
Kok-Kwang Phoon   +9 more
doaj   +1 more source

Generalized basic probability assignments [PDF]

open access: yes, 2002
Dempster-Shafer theory allows to construct belief functions from (precise) basic probability assignments. The present paper extends this idea substantially.
Augustin, Thomas
core   +1 more source

To be(t) or not to be(t): A Bayesian approach to statistical data analysis [PDF]

open access: yesEPJ Web of Conferences
The process of learning from observation is the founding step of Science. When it goes in the direction of collecting empyrical observations and getting to general rules it is called “induction”, and it has the goal to infer from the effects of a given ...
Pisano Silvia
doaj   +1 more source

Theoretical characterization of uncertainty in high-dimensional linear classification

open access: yesMachine Learning: Science and Technology, 2023
Being able to reliably assess not only the accuracy but also the uncertainty of models’ predictions is an important endeavor in modern machine learning. Even if the model generating the data and labels is known, computing the intrinsic uncertainty after ...
Lucas Clarté   +3 more
doaj   +1 more source

Non-Parametric Test for Decreasing Uncertainty of Residual Life Distribution (DURL) [PDF]

open access: yes, 2023
In this paper, we propose a new statistic to test the monotonicity of uncertainty based on derivative criteria and the histogram method. We test the null hypothesis that residual entropy is constant against the fact that it decreases over time. Hence, by
Hassina Benaoudia, Amar Aissani
core   +1 more source

Distribution Statistics Preserving Post-Processing Method With Plot Level Uncertainty Analysis for Remotely Sensed Data-Based Forest Inventory Predictions

open access: yesRemote Sensing, 2018
Remotely sensed data-based models used in operational forest inventory usually give precise and accurate predictions on average, but they often suffer from systematic under- or over-estimation of extreme attribute values resulting in too narrow or skewed
Virpi Junttila, Tuomo Kauranne
doaj   +1 more source

Role of uncertainty in life-cycle design of concrete structures [PDF]

open access: yes, 2015
This paper investigates the time-variant uncertainty effects on the life-cycle safety, robustness and redundancy of deteriorating concrete structures.
BIONDINI, FABIO   +2 more
core   +1 more source

Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting

open access: yesJournal of Medical Internet Research, 2020
BackgroundDespite excellent prediction performance, noninterpretability has undermined the value of applying deep-learning algorithms in clinical practice.
Kim, Junetae   +8 more
doaj   +1 more source

Uncertainty: the soul of modeling, probability & statistics [PDF]

open access: yes, 2016
This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science.
Briggs, William
core   +1 more source

Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion [PDF]

open access: yes, 2022
Dempster–Shafer evidence theory is widely used in modeling and reasoning uncertain information in real applications. Recently, a new perspective of modeling uncertain information with the negation of evidence was proposed and has attracted a lot of
Zhou, Deyun   +5 more
core   +1 more source

Home - About - Disclaimer - Privacy