David H. Wolpert
(8 articles)
Loss Optimization
Process of adjusting a model's parameters to minimize the difference between the predicted outputs and the actual outputs, measured by a loss function.
Generality: 886
Curse of Dimensionality
Phenomenon where the complexity and computational cost of analyzing data increase exponentially with the number of dimensions or features.
Generality: 827
Best-of-N
A strategy in AI that involves generating multiple outputs and selecting the best one based on a predefined criterion or scoring function.
Generality: 575
Prediction Error
The discrepancy between predicted outcomes by an AI model and the actual observed results in a dataset.
Generality: 675
Multiagent
Multiple autonomous entities (agents) interacting in a shared environment, often with cooperative or competitive objectives.
Generality: 855
Stacking
ML ensemble technique that combines multiple classification or regression models via a meta-classifier or meta-regressor to improve prediction accuracy.
Generality: 795
Meta-Classifier
Algorithm that combines multiple ML models to improve prediction accuracy over individual models.
Generality: 811
Cooperativity
How multiple agents or components work together in a system to achieve better performance or solutions than they could individually.
Generality: 800