Results 21 to 30 of about 3,206,451 (267)

Local Linear Approximation Algorithm for Neural Network

Mathematics, 2022
This paper aims to develop a new training strategy to improve efficiency in estimation of weights and biases in a feedforward neural network (FNN). We propose a local linear approximation (LLA) algorithm, which approximates ReLU with a linear function at
Mudong Zeng, Yujie Liao, Runze Li, Agus Sudjianto   +3 more
doaj   +1 more source

Model Risk in Portfolio Optimization

Risks, 2014
We consider a one-period portfolio optimization problem under model uncertainty. For this purpose, we introduce a measure of model risk. We derive analytical results for this measure of model risk in the mean-variance problem assuming we have ...
David Stefanovits, Urs Schubiger, Mario V. Wüthrich   +2 more
doaj   +1 more source

Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response Analysis

Seismica
The Global EarthquakE ScEnarios (GEESE) algorithm retrieves from a seismic hazard input model the ruptures matching a set of criteria (e.g., magnitude, location, focal mechanism).
Christopher Brooks, Marco Pagani, Manuela Villani, Kendra Johnson, Richard Styron, Kirsty Bayliss   +5 more
doaj   +1 more source

Integrating Blue Energy in Maritime Spatial Planning of Mediterranean Regions

Frontiers in Energy Research, 2022
Blue Energy (BE) is expected to play a strategic role in the energy transition of Europe, particularly toward the 2050 horizon. It refers to a set of Marine Energy Sources (MES), including offshore wind, waves, tides, marine currents, sea thermal energy,
Riccardo Maria Pulselli, Riccardo Maria Pulselli, Maria Vittoria Struglia, Matteo Maccanti, Morena Bruno, Nicoletta Patrizi, Elena Neri, Adriana Carillo, Ernesto Napolitano, Nikolaos Stefanatos, Christoforos Perakis, Markos Damasiotis, Federica Di Pietrantonio, Stefano Magaudda, Venturo Madalena, Hrvoje Stančin, Hrvoje Mikulčić, Hrvoje Mikulčić, Vasilis Petrou, Konstantinos Smagas, Eleni Valari, Louisa Marie Shakou, Simone Bastianoni   +22 more
doaj   +1 more source

Assessment of model risk due to the use of an inappropriate parameter estimator

Cogent Economics & Finance, 2020
The purpose of this study is to assess model risk with respect to parameter estimation for a simple binary logistic regression model applied as a predictive model.
Modisane B. Seitshiro, Hopolang P. Mashele   +1 more
doaj   +1 more source

Heart rate and oxygen uptake kinetics obtained from continuous measurements with wearable devices during outdoor walks of patients with COPD

Digital Health, 2023
Objective Continuous physiological measurements during a laboratory-based exercise test can provide physiological biomarkers, such as heart rate (HR) and oxygen uptake (V̇O 2 ) kinetics, that carry clinically relevant information.
Joren Buekers, Ane Arbillaga-Etxarri, Elena Gimeno-Santos, David Donaire-Gonzalez, Guillaume Chevance, Jean-Marie Aerts, Judith Garcia-Aymerich   +6 more
doaj   +1 more source

The LLP risk model: an individual risk prediction model for lung cancer [PDF]

British Journal of Cancer, 2007
Using a model-based approach, we estimated the probability that an individual, with a specified combination of risk factors, would develop lung cancer within a 5-year period. Data from 579 lung cancer cases and 1157 age- and sex-matched population-based controls were available for this analysis.
Cassidy, A, Myles, J P, van Tongeren, M; id_orcid 0000-0002-1205-1898, Page, R D, Liloglou, T, Duffy, S W, Field, J K   +6 more
openaire   +2 more sources

Information-Theoretic Analysis of Bayesian Quantum State Search

IEEE Transactions on Quantum Engineering
We present an information-theoretic approach to quantum state classification based on sequential Bayesian inference. In each measurement step, the algorithm updates a probability distribution over candidate states by applying Bayes' rule to the ...
Zhelun Li, Koji Terashi
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Risk modelling and management: An overview [PDF]

Mathematics and Computers in Simulation, 2013
The papers in this special issue of Mathematics and Computers in Simulation are substantially revised versions of the papers that were presented at the 2011 Madrid International Conference on “Risk Modelling and Management” (RMM2011). The papers cover the following topics: currency hedging strategies using dynamic multivariate GARCH, risk management of
Chang, Chia-Lin, Allen, David E., McAleer, Michael, Perez Amaral, Teodosio   +3 more
openaire   +8 more sources