complexity-measures

Here are 3 public repositories matching this topic...

miriamspsantos / pycol

The Python Class Overlap Libray (pycol) assembles a comprehensive set of complexity measures associated with the characterization of the Class Overlap problem.

machine-learning class-imbalance imbalanced-data data-complexity meta-learning complexity-measures meta-features machinelearning-python classification-complexity class-overlap data-intrinsic-characteristics

Updated Feb 7, 2022
Python

00200200 / complexity_adaptive_k_dynamic_classifier_selection

Star

Research on choosing neighborhood size for dynamic classifier selection using dataset complexity, scikit-learn and DESlib.

python research scikit-learn hyperparameter-optimization classification pattern-recognition dcs meta-learning complexity-measures adaptive-systems deslib

Updated Oct 28, 2026
Python

Accompanies the paper "Quantifiers satisfying semantic universals have shorter minimal description length"; generates a large collection of quantifiers and computes their complexities, in order to explain semantic universals

generalized-quantifiers language-of-thought complexity-measures logical-grammars semantic-universals minimal-description-length lempel-ziv-complexity

Updated Apr 22, 2022
Python

Add this topic to your repo

To associate your repository with the complexity-measures topic, visit your repo's landing page and select "manage topics."

Learn more

Navigation Menu

complexity-measures

Here are 3 public repositories matching this topic...

miriamspsantos / pycol

00200200 / complexity_adaptive_k_dynamic_classifier_selection

ivdpol / QuantifierComplexity

Add this topic to your repo