Results 31 to 40 of about 1,368,395 (298)

Parametric and Nonparametric Machine Learning Techniques for Increasing Power System Reliability: A Review

open access: yesInformation
Due to aging infrastructure, technical issues, increased demand, and environmental developments, the reliability of power systems is of paramount importance. Utility companies aim to provide uninterrupted and efficient power supply to their customers. To
Fariha Imam   +2 more
doaj   +1 more source

Modeling of focal-directorial surfaces for application in architecture [PDF]

open access: yesFME Transactions, 2017
The theme of this paper is the modeling of focal-directorial surfaces, starting with their definition, as a locus of points, whose sum of the distances to the focus and/or directrix is constant and predefined.
Petruševski Ljiljana S.   +3 more
doaj  

An Embedded, Multi-Modal Sensor System for Scalable Robotic and Prosthetic Hand Fingers

open access: yesSensors, 2019
Grasping and manipulation with anthropomorphic robotic and prosthetic hands presents a scientific challenge regarding mechanical design, sensor system, and control.
Pascal Weiner   +4 more
doaj   +1 more source

Parametric matrix models

open access: yesNature Communications
Abstract We present a general class of machine learning algorithms called parametric matrix models. In contrast with most existing machine learning models that imitate the biology of neurons, parametric matrix models use matrix equations that emulate physical systems.
Patrick Cook   +4 more
openaire   +2 more sources

Parametric Binary Choice Models [PDF]

open access: yesSSRN Electronic Journal, 2005
This paper discusses the estimation of binary choice panel data models. We begin with different versions of the static random effects model when the explanatory variables are strictly exogenous. Depending on the autocorrelation structure of the errors, different estimators are available and we detail their attractiveness in each situation by trading ...
Lechner, Michael   +2 more
openaire   +8 more sources

Analysis of parametric and non-parametric option pricing models

open access: yesHeliyon, 2022
In this paper, a closed-form analytical solution of option price under the Bi-Heston model is derived. Through empirical analysis, the advantages and disadvantages of the parametric pricing model are compared and analysed with those of the non-parametric model.
Qiang Luo   +3 more
openaire   +3 more sources

Predicting food waste in households with children: socio-economic and food-related behavior factors

open access: yesFrontiers in Nutrition, 2023
IntroductionThe consumption phase accounts for approximately half of the food waste generated within the food system. Numerous studies have identified families with children as the primary contributors to food waste.
Pietro Tonini   +4 more
doaj   +1 more source

Semi-parametric regression: Efficiency gains from modeling the nonparametric part

open access: yes, 2011
It is widely admitted that structured nonparametric modeling that circumvents the curse of dimensionality is important in nonparametric estimation. In this paper we show that the same holds for semi-parametric estimation.
Mammen, Enno   +2 more
core   +1 more source

Computational Analysis for the Evaluation of Fire Resistance in Constructive Wooden Elements with Protection

open access: yesApplied Sciences
Wood is a material whose properties vary depending on different conditions, being particularly vulnerable to changes induced by high temperatures. When exposed to a fire situation, the wood properties suffer degradation, causing a char layer formation ...
Domingos Pereira   +2 more
doaj   +1 more source

Principles and Criteria for using Statistical Parametric Models and Conditional Models for Valuation of Multi-Component Real Estate

open access: yesReal Estate Management and Valuation, 2019
The complexity of multi-component real properties results from the possibility of identifying various components in legal, physical or functional terms.
Adamczyk Tomasz   +2 more
doaj   +1 more source

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