Latest Articles for Uncertainty

Discover how IMP-MARL improves infrastructure management through collaborative learning.

New strategies enhance accuracy in medical image segmentation for better diagnoses.

Innovative methods enhance predictions of brain activity and behavior using complex data.

NORIS improves image selection for training object detection models efficiently.

A new method improves decision-making under uncertainty in offline learning.

A new emulator enhances efficiency in cosmological data prediction.

GP-Frontier allows robots to navigate without maps by using real-time sensing.

A new method improves particle synthesis by managing production uncertainties.

A new framework enhances fairness in algorithms using uncertain demographic information.

This framework aids users in applying Gaussian Processes effectively for predictive modeling.

ProtoASNet improves diagnosis of aortic stenosis with clear reasoning and uncertainty handling.

A new method for effective vaccine allocation during epidemics by addressing uncertainty.

A novel method aids in recognizing uncertainty within research texts.

Learn how uncertainty affects Lagrangian descriptors in fluid dynamics.

Evaluating models' ability to estimate uncertainty for improved predictions.

Research shows promise using Physics-Informed Neural Networks for wind energy management.

Active learning enhances data training efficiency through strategic sample selection.

RS-CNN offers a new approach to quantify uncertainty in machine learning predictions.

A method to derive prior distributions from expert decision-making processes.

This study enhances the robustness of deep learning through dynamic model selection.

Learn how Bayes' Theorem helps manage uncertainty in decision-making.

This article explores methods to measure uncertainty in robotic positioning using RTS.

A new method improves Bayesian neural networks for generalization and uncertainty estimation.

A new method improves multitask learning by measuring uncertainty effectively.

This method improves uncertainty estimates without needing model retraining.

NP-SemiSeg enhances semantic segmentation accuracy while estimating uncertainty.

Examining double stars reveals their properties and improves our knowledge of the universe.

New methods improve predictions of ice sheet behavior and sea level rise.

An overview of control systems, feedback, and challenges in modern engineering.

This study examines how machines recognize emotions to improve human decision-making.

New method improves robots' ability to understand human perspectives.

A probabilistic approach improves classification of time series data with missing values.

A new method improves uncertainty in medical image annotations.

Effective navigation strategies for robots in obstacle-filled environments.

EDICT enhances predictions for data collected at uneven intervals, improving decision-making.

Researchers develop a novel approach to estimate neutrino properties using red giants.

A new method improves drifter placement for better fluid data collection.

A new method optimizes orientation estimation in cryo-EM using advanced deep learning techniques.

Addressing challenges for safe machine learning applications in critical systems.

Explore how feelings influence decision-making under uncertainty.