A review of predictive uncertainty estimation with machine learning
H Tyralis, G Papacharalampous - Artificial Intelligence Review, 2024 - Springer
Predictions and forecasts of machine learning models should take the form of probability
distributions, aiming to increase the quantity of information communicated to end users …
distributions, aiming to increase the quantity of information communicated to end users …
[图书][B] Surrogates: Gaussian process modeling, design, and optimization for the applied sciences
RB Gramacy - 2020 - taylorfrancis.com
Computer simulation experiments are essential to modern scientific discovery, whether that
be in physics, chemistry, biology, epidemiology, ecology, engineering, etc. Surrogates are …
be in physics, chemistry, biology, epidemiology, ecology, engineering, etc. Surrogates are …
The genetic history of the Southern Arc: A bridge between West Asia and Europe
By sequencing 727 ancient individuals from the Southern Arc (Anatolia and its neighbors in
Southeastern Europe and West Asia) over 10,000 years, we contextualize its Chalcolithic …
Southeastern Europe and West Asia) over 10,000 years, we contextualize its Chalcolithic …
Analyzing stochastic computer models: A review with opportunities
Analyzing Stochastic Computer Models: A Review with Opportunities Page 1 Statistical
Science 2022, Vol. 37, No. 1, 64–89 https://doi.org/10.1214/21-STS822 © Institute of …
Science 2022, Vol. 37, No. 1, 64–89 https://doi.org/10.1214/21-STS822 © Institute of …
[图书][B] Basics and trends in sensitivity analysis: Theory and practice in R
In many fields, such as environmental risk assessment, agronomic system behavior,
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
Replication or exploration? Sequential design for stochastic simulation experiments
We investigate the merits of replication, and provide methods for optimal design (including
replicates), with the goal of obtaining globally accurate emulation of noisy computer …
replicates), with the goal of obtaining globally accurate emulation of noisy computer …
An improved long short-term memory network for streamflow forecasting in the upper Yangtze River
S Zhu, X Luo, X Yuan, Z Xu - Stochastic Environmental Research and Risk …, 2020 - Springer
Characterized by essential complexity, dynamism, and dynamics, streamflow forecasting
presents a great challenge to hydrologists. Long short-term memory (LSTM) streamflow …
presents a great challenge to hydrologists. Long short-term memory (LSTM) streamflow …
[HTML][HTML] Impact of vaccination and non-pharmaceutical interventions on SARS-CoV-2 dynamics in Switzerland
Background As vaccination coverage against SARS-CoV-2 increases amidst the emergence
and spread of more infectious and potentially more deadly viral variants, decisions on timing …
and spread of more infectious and potentially more deadly viral variants, decisions on timing …
Risk-averse heteroscedastic bayesian optimization
A Makarova, I Usmanova… - Advances in Neural …, 2021 - proceedings.neurips.cc
Many black-box optimization tasks arising in high-stakes applications require risk-averse
decisions. The standard Bayesian optimization (BO) paradigm, however, optimizes the …
decisions. The standard Bayesian optimization (BO) paradigm, however, optimizes the …
Presenting the best prediction model of water inflow into drill and blast tunnels among several machine learning techniques
During the construction of a tunnel, water inflow is one of the most common and complex
geological disasters and has a large impact on the construction schedule and safety. When …
geological disasters and has a large impact on the construction schedule and safety. When …