andrescorrada/IntroductionToAlgebraicEvaluation

A collection of essays and code on algebraic methods to evaluate noisy judges on unlabeled test data.

MathematicaPythonmachine-learningevaluation-theory
This is stars and forks stats for /andrescorrada/IntroductionToAlgebraicEvaluation repository. As of 08 May, 2024 this repository has 33 stars and 2 forks.

Introduction To Algebraic Evaluation Algebraic evaluation is the grading of noisy of judges on unlabeled data via purely algebraic approaches. These algebraic approaches do not require the use of probability theory or detailed knowledge of the domain in which the judges are working. Evaluation is the forgotten twin of learning. AI researchers and their work currently focuses on just one side of the learning process - training. As such, they have missed many of the benefits of algebraic evaluation....
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