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Analytic field solution for machine learning integrating physics model and data driven approach
AIP AdvancesWe derive analytical formulas for machine learning that merge a physics model with a data driven approach. We use a path integral method to find a field solution that calculates machine learning statistics while considering the physics model’s ...
Xiaobin Wang, April Wang
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Determination of Uncertainty in Measuring Instruments in Electrical Engineering Programs
TecnoLógicas, 2019 When electrical engineering students start their instrumentation and measurement course, they have previously taken calculus, physics, probability, and statistics. However, they have problems to apply the knowledge they acquired to solve problems related
Álvaro Espinel-Ortega, Adriana Vega-E
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Probabilità e Statistica nella scuola primaria: esperienze didattiche e proposte
Science & Philosophy, 2014 INVALSI tests, with the idea of evaluating schools, and teachers, evaluating students abilities, produce a passage from mass school, in which the goal was to promote cooperation and uniform training of all students, with particular attention to the ...
Luciana Delli Rocili, Antonio Maturo
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International Journal of Prognostics and Health Management, 2015 Setting optimal alarm thresholds in vibration based condition monitoring system is inherently difficult. There are no established thresholds for many vibration based measurements.
Kun S. Marhadi +1 more
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The optimal lifetime of assets under uncertainty in the rate of embodied technical change [PDF]
This paper investigates the effects of uncertainty emanating from technological im-provements on the optimal lifetime of assets. In does so in a dynamic model in which: a) technological change increases continuously the productivity of producers ...
Bitros, George C.
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Motion Planning of Uncertain Ordinary Differential Equation Systems [PDF]
, 2011 This work presents a novel motion planning framework, rooted in nonlinear programming theory, that treats uncertain fully and under-actuated dynamical systems described by ordinary differential equations.
Hays, Joe +3 more
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PROBABILISTIC FATIGUE LIFE PREDICTION APPROACH FOR MULTI-SITE DAMAGE COMPONENTS
Jixie qiangdu, 2015 Fatigue is a phenomenon of high uncertainty,especially for components with multiple damage sites.The fatigue life（ either mean value or probability distribution of the random variable） of a complex component with multiple damage sites is not equal to ...
XIE LiYang +4 more
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, 2002 Uncertainty creates anxiety so attempts have been made to reduce it using mathematical techniques. In the electronics industry the very large quantities of devices processed have provided reliable statistics and the opportunity to employ statistical ...
Monk, John
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A Categorical Treatment of Open Linear Systems [PDF]
Logical Methods in Computer ScienceAn open stochastic system à la Jan Willems is a system affected by two qualitatively different kinds of uncertainty: one is probabilistic fluctuation, and the other one is nondeterminism caused by a fundamental lack of information.
Dario Stein, Richard Samuelson
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Robust Solutions of Optimization Problems Affected by Uncertain Probabilities [PDF]
In this paper we focus on robust linear optimization problems with uncertainty regions defined by ø-divergences (for example, chi-squared, Hellinger, Kullback-Leibler).
Ben-Tal, A. +4 more
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