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Machine Learning: Difference between revisions
→VC dimension
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===VC dimension=== | ===VC dimension=== | ||
[https://en.wikipedia.org/wiki/Vapnik%E2%80%93Chervonenkis_dimension Wikipedia Page] | [https://en.wikipedia.org/wiki/Vapnik%E2%80%93Chervonenkis_dimension Wikipedia Page]<br> | ||
[https://www.stat.berkeley.edu/~bartlett/courses/2013spring-stat210b/notes/10notes.pdf Some slides] | |||
====Shattering==== | ====Shattering==== | ||
A model <math>f</math> parameterized by <math>\theta</math> is said to shatter a set of points <math>\{x_1, ..., x_n\}</math> if there exists <math>\theta</math> such that <math>f</math> makes no errors. | A model <math>f</math> parameterized by <math>\theta</math> is said to shatter a set of points <math>\{x_1, ..., x_n\}</math> if there exists <math>\theta</math> such that <math>f</math> makes no errors. | ||