26 citations · 85 across the 10 of their papers we have counts for
3 papers · 1 filter
Independence Tests Without Ground Truth for Noisy Learners
Andrés Corrada-Emmanuel, Edward Pantridge, Eddie Zahrebelski +2
Exact ground truth invariant polynomial systems can be written for arbitrarily correlated binary classifiers. Their solutions give estimates for sample statistics that require know…
Code Building Genetic Programming
Edward Pantridge, Lee Spector
In recent years the field of genetic programming has made significant advances towards automatic programming. Research and development of contemporary program synthesis methods, su…
Algebraic Ground Truth Inference: Non-Parametric Estimation of Sample Errors by AI Algorithms
Andrés Corrada-Emmanuel, Edward Pantridge, Edward Zahrebelski +2
Binary classification is widely used in ML production systems. Monitoring classifiers in a constrained event space is well known. However, real world production systems often lack…