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Question
the “p ≫ N” problem is learning in *** feature spaces. These problems arise in many areas, including ***.
Answer
the “p ≫ N” problem is learning in high-dimensional feature spaces. These problems arise in many areas, including document classification.

Question
the “p ≫ N” problem is learning in *** feature spaces. These problems arise in many areas, including ***.
Answer
?

Question
the “p ≫ N” problem is learning in *** feature spaces. These problems arise in many areas, including ***.
Answer
the “p ≫ N” problem is learning in high-dimensional feature spaces. These problems arise in many areas, including document classification.
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owner: aelizzybeth - (no access) - The_Elements_of_Statistical_Learning_Hastie_Tibshirani_Friedman.pdf, p6

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statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

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