Importance Score Estimation
A technique used to evaluate the significance of each parameter in a model to determine which ones can be pruned without significantly affecting performance.
Category: General AI/ML
Knowledge Distillation
A process where a smaller model is trained to replicate the behavior of a larger, pre-trained model, effectively transferring knowledge.
Predictive Accuracy
A measure of how accurately a model predicts outcomes compared to actual results.
Technical Variables
Quantitative measures derived from historical price and volume data used to forecast future price movements.
Hybrid Variable Sets
The combination of different types of input features, such as fundamental and technical variables, to improve predictive modeling.
Fundamental Macroeconomic Variables
Economic factors that influence the overall economy and can affect currency values, such as GDP and unemployment rates.
Cognitive Algorithmic Trading System
A trading system that utilizes cognitive computing techniques to make decisions based on market data.
Behavioral Repertoires
Behavioral repertoires refer to the range of strategies and responses that models can exhibit in reasoning tasks.
Shallow Forward Chaining
Shallow forward chaining is a reasoning strategy that involves sequentially applying rules or operations without deeper cognitive processing.
Test-Time Reasoning Guidance
A method that provides structured support to models during reasoning tasks to enhance their performance.