Results for "uncertainty measure"

A measure of randomness or uncertainty in a probability distribution.

A scalar measure optimized during training, typically expected loss over data, sometimes with regularization terms.

Measure of consistency across labelers; low agreement indicates ambiguous tasks or poor guidelines.

Selecting the most informative samples to label (e.g., uncertainty sampling) to reduce labeling cost.

A measure of a model class’s expressive capacity based on its ability to shatter datasets.

Reduction in uncertainty achieved by observing a variable; used in decision trees and active learning.

Formal framework for sequential decision-making under uncertainty.

Measure of vector magnitude; used in regularization and optimization.

Measure of spread around the mean.

Optimization under uncertainty.

Control that remains stable under model uncertainty.