Results 101 to 110 of about 1,624,324 (312)

Efficient computation of updated lower expectations for imprecise continuous-time hidden Markov chains [PDF]

, 2017
We consider the problem of performing inference with imprecise continuous-time hidden Markov chains, that is, imprecise continuous-time Markov chains that are augmented with random output variables whose distribution depends on the hidden state of the ...
De Bock, Jasper, Krak, Thomas, Siebes, A
core   +1 more source

Compositional imprecise probability

Conditionally accepted for POPL ...
Liell-Cock, Jack, Staton, Sam
openaire   +2 more sources

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

Chemistry – A European Journal, EarlyView.
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain, Max Pinheiro Jr., Matheus de Oliveira Bispo, Mario Barbatti   +3 more
wiley   +1 more source

Natech Risk Assessment with Imprecise Probabilities

Chemical Engineering Transactions
Natechs are technological accidents that are triggered by natural disasters. The increase in the frequency and severity of climatic natural disasters and the growth of industrialization demand the development of dedicated methodologies for risk ...
Alireza Dehghanisanij, Nima Khakzad
doaj  

Quantifying Uncertainty for System Failure Prognostics: Enhanced Approach Based on Interval-Valued Probabilities

Chemical Engineering Transactions, 2013
Failure prognostics being performed for any complex industrial system typically meets serious obstacles caused by uncertainty. This uncertainty actually has a hierarchical structure due to the peculiarities of its influence to the prognostics results ...
V. Krymsky
doaj   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Markov Chain Modeling for Predicting the Service Life of Buildings and Structural Components

Applied Sciences
Accurate prediction and management of the service life of buildings and structural components are crucial for ensuring durability and economic efficiency.
Artur Zbiciak, Dariusz Walasek, Mykola Nagirniak, Katarzyna Walasek, Eugeniusz Koda   +4 more
doaj   +1 more source

Latent Trajectories of Body Mass Index and Depressive Symptoms in Inpatients With Anorexia Nervosa: Predictors and Outcomes

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Inpatient treatment aimed at weight restoration and psychiatric stabilization is often required for individuals with anorexia nervosa (AN). This study aimed to identify distinct trajectories of change in body mass index (BMI) and depressive symptoms during inpatient treatment, examine clinical predictors and outcomes, and test ...
Matteo Martini, Mie Sedoc Jørgensen, Cristiano Dani, Anne Bryde Christensen, Magnus Sjögren, Nadia Micali   +5 more
wiley   +1 more source

Application of Imprecise Decision Modeling for Regional Development Policies in Indonesia

Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan, 2016
Regional Development encompasses many aspect of economic, social, and environmental attributes. In the context of developing country, the decision to fulfill these attributes are often hindered by lack of clear development scenarios and constraints. This
Novita Erlinda, Akhmad Fauzi, Akhmad Fauzi, Slamet Sutomo, Slamet Sutomo, Eka Intan Kumala Putri, Eka Intan Kumala Putri   +6 more
doaj  

Robust multi-objective optimization under multiple uncertainties using the CM-ROPAR approach: case study of water resources allocation in the Huaihe River basin [PDF]

Hydrology and Earth System Sciences
Water resources managers need to make decisions in a constantly changing environment because the data relating to water resources are uncertain and imprecise.
J. Zhang, J. Zhang, J. Zhang, D. Solomatine, D. Solomatine, D. Solomatine, Z. Dong   +6 more
doaj   +1 more source