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Using Machine Learning to Formulate Mathematical Conjectures - IPAM at UCLA

Using Machine Learning to Formulate Mathematical Conjectures - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Signature and cusp geometry

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Signature and cusp geometry

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Using Machine Learning to Formulate Mathematical Conjectures - IPAM at UCLA

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  1. 1 Intro
  2. 2 Supervised learning
  3. 3 The branches of knot theory
  4. 4 Connections with dimension 4
  5. 5 Using machine learning in knot theory
  6. 6 Hyperbolic structures
  7. 7 Signature and cusp geometry
  8. 8 The natural slope
  9. 9 First conjectures
  10. 10 Difficulties with this method

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