This paradox is best illustrated in the example of fisheries management, where many ideas that guide thinking about ecological decision making were first developed.
The U. S. Federal Emergency Management Agency (FEMA) recommends elevating existing houses to the Base Flood Elevation (the elevation of the 100-yr flood) plus a freeboard.
Applications Data Analysis, Statistics and Probability Statistical Finance
Traditional solutions on these problems leverage combinatorial optimization with demand and supply forecasting.
To address this dilemma, we further propose an uncertainty-aware cross-modality vehicle detection (UA-CMDet) framework to extract complementary information from cross-modal images, which can significantly improve the detection performance in low light conditions.
In this paper, we make the key delineation on the roles of resolution and statistical uncertainty in hierarchical bandits-based black-box optimization algorithms, guiding a more general analysis and a more efficient algorithm design.
Standard MMs are static, whereas ODE systems are usually dynamic and account for herd immunity which is crucial to prevent overestimation of infection prevalence.
Methodology
In response to this, we introduce UCMCTrack, a novel motion model-based tracker robust to camera movements.
Ranked #1 on Multi-Object Tracking on MOT17
Large language models (LLMs) specializing in natural language generation (NLG) have recently started exhibiting promising capabilities across a variety of domains.
An emerging class of weather models based on neural networks represents a paradigm shift in weather forecasting: the models learn the required transformations from data instead of relying on hand-coded physics and are computationally efficient.
Prevalent scenario of continual learning, however, assumes disjoint sets of classes as tasks and is less realistic rather artificial.