Candidate-Elimination Algorithm is a Machine Learning Algorithm that builds the version space from Specific Hypothesis and General Hypothesis.
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Updated
Sep 12, 2020 - Python
Candidate-Elimination Algorithm is a Machine Learning Algorithm that builds the version space from Specific Hypothesis and General Hypothesis.
Version-space concept learning from scratch: learns the most specific (S) and most general (G) rectangle hypotheses from labelled points and plots them.
Independent symbolic memory audit: retention, reader bias, and class-conditional ambiguity across ten archived PropWorld worlds.
Exact geometric reasoning about hidden worlds: keeps every model the evidence allows and certifies only what all agree on; otherwise says "I don't know". 0 wrong public certificates in the 12 studies that gated them (002-013); research arms have published false certificates. Hash-chained ledger, reproducible, failures published. Not AGI.
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