TwiG-50K dataset
A curated dataset specifically designed for training and evaluating the TwiG framework.
Category: General AI/ML
Fitness Performance Analysis
An evaluation method used to assess how well a solution or operator performs in achieving the objectives of an optimization problem.
Flexible Job Shop Scheduling Problem
A complex scheduling problem where jobs with various operations need to be assigned to machines in a flexible manner to optimize performance metrics.
Kesten–Stigum (KS) Threshold
A critical threshold in the analysis of community detection algorithms, beyond which it is possible to recover the community structure reliably.
Minimax-optimal Misclassification Rate
The lowest possible error rate that can be achieved by an algorithm under the worst-case scenario for a given problem.
Dynamic Operators
Operators in evolutionary algorithms that adapt their behavior based on the current state of the search process.
Model Interpretability
Model interpretability refers to the degree to which a human can understand the cause of a decision made by a machine learning model.
Linear Probe
A linear probe is a simple linear classifier used to evaluate the performance of features extracted from a pre-trained model.
Neural Network
A computational model inspired by biological neural networks
Dataset Distillation
Dataset distillation is the process of creating a smaller synthetic dataset that retains the performance characteristics of a larger real dataset when used for training models.