Variance Reduction
A statistical technique aimed at reducing the variability of an estimator to improve the reliability of the results.
A statistical technique aimed at reducing the variability of an estimator to improve the reliability of the results.
The process of approaching a limit or a desired value in iterative algorithms, often referring to the stability and reliability of the learning process.
Simplified reasoning strategies that models use to achieve results without fully understanding the underlying spatial relationships.
A technique used to evaluate the significance of each parameter in a model to determine which ones can be pruned without significantly affecting performance.
A measure of how accurately a model predicts outcomes compared to actual results.
Quantitative measures derived from historical price and volume data used to forecast future price movements.
Economic factors that influence the overall economy and can affect currency values, such as GDP and unemployment rates.
Behavioral repertoires refer to the range of strategies and responses that models can exhibit in reasoning tasks.
Shallow forward chaining is a reasoning strategy that involves sequentially applying rules or operations without deeper cognitive processing.
Cognitive elements are fundamental components derived from cognitive science that influence reasoning and problem-solving processes.