过去一年中添加的文章，按日期排序
[PDF][PDF] Divide-and-train: A new approach to improve the predictive tasks of bike-sharing systems
3 天前 - … Several machine learning and deep learning models, for instance, are used to
predict urban flows, trip duration, and other factors. The standard practice for these models is to …
predict urban flows, trip duration, and other factors. The standard practice for these models is to …
From many futures to one: climate-informed planning scenario analysis for resource-efficient deep climate uncertainty analysis
9 天前 - … The Decision Making under Deep Uncertainty (DMDU) literature presents various
modeling frameworks to identify solutions that are robust to a large range of plausible future …
modeling frameworks to identify solutions that are robust to a large range of plausible future …
Editorial special issue: Bridging the gap between AI and Statistics
16 天前 - … deeply rooted in statistical theories and practices. Statistics, with its rigorous
methodologies for data analysis, inference, and decision-making under uncertainty, has provided …
methodologies for data analysis, inference, and decision-making under uncertainty, has provided …
Leaf Disease Detection Using Vision Transformers (ViT)
A Castrejon Porres - 2024 - diva-portal.org
19 天前 - … To answer the research question, this research uses a novel approach utilizing
the … early disease diagnosis and informed decision-making in crop management practices. …
the … early disease diagnosis and informed decision-making in crop management practices. …
Literature Review: Adaptive Planning Practices
T Rangwala - Water, 2024 - mdpi.com
26 天前 - … The key benefits of an adaptive planning process are the ‘Decision Making
under Deep Uncertainty’ approach [5] and the flexibility to select from multiple pathways as a …
under Deep Uncertainty’ approach [5] and the flexibility to select from multiple pathways as a …
Foresight In Finance: Elevating Predictions With Enhanced Rnn-Lstm And Adam Optimizer
P Dineshkumar, B Subramani - … Administration: Theory and Practice, 2024 - kuey.net
37 天前 - … seeking refined foresight and precision in decisionmaking. As financial markets
continue … enhanced approach, paving the way for more informed and strategic decision-making …
continue … enhanced approach, paving the way for more informed and strategic decision-making …
Exploring Scenarios of Eco-innovation in the Industry: A Prospective Approach
DG Júnior, H Ewbank, S Roveda, F de Oliveira Neves - 2024 - sciforum.net
40 天前 - … This research aims to explore the application of fuzzy decision support systems
in … Through this approach, we seek to advance more sustainable practices and construct …
in … Through this approach, we seek to advance more sustainable practices and construct …
Avoiding Value Estimation Error in Off-Policy Deep Reinforcement Learning
J Markowitz, J Silverberg, GL Collins - … Decision-Making in Practice (RLC … - openreview.net
42 天前 - … In addition to measuring the error in the learned Q estimates, we also report the
variance of the validation TD error, which is computed as the TD error of the learned Q-function …
variance of the validation TD error, which is computed as the TD error of the learned Q-function …
Ethical dilemma in conservation: a trolley problem thought experiment
44 天前 - … be lethal, and with some uncertainty, but may affect … Decision makers can be
directly affected by their decision. b) The decision may affect other stakeholders than the decision …
directly affected by their decision. b) The decision may affect other stakeholders than the decision …
Inpainting non-anatomical objects in brain imaging using enhanced deep convolutional autoencoder network
50 天前 - … Over the past decade, image inpainting techniques have advanced due to deep
learning and multimedia information. In this paper, we proposed a deep convolutional …
learning and multimedia information. In this paper, we proposed a deep convolutional …