Results for "error correction"
Corrigibility
Advanced
Willingness of system to accept correction or shutdown.
Bias–Variance Tradeoff
Intermediate
A conceptual framework describing error as the sum of systematic error (bias) and sensitivity to data (variance).
Loss Function
Intermediate
A function measuring prediction error (and sometimes calibration), guiding gradient-based optimization.
Brier Score
Intermediate
A proper scoring rule measuring squared error of predicted probabilities for binary outcomes.
Rademacher Complexity
Intermediate
Measures a model’s ability to fit random noise; used to bound generalization error.
Bias Term
Intermediate
Systematic error introduced by simplifying assumptions in a learning algorithm.
Variance Term
Intermediate
Error due to sensitivity to fluctuations in the training dataset.
Predictive Coding
Frontier
Learning by minimizing prediction error.
Mean Squared Error
Intermediate
Average of squared residuals; common regression objective.