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Electronic Colloquium on Computational Complexity

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REPORTS > KEYWORD > MULTICLASS LEARNING:
Reports tagged with Multiclass learning:
TR22-035 | 7th March 2022
Nataly Brukhim, Daniel Carmon, Irit Dinur, Shay Moran, Amir Yehudayoff

A Characterization of Multiclass Learnability

A seminal result in learning theory characterizes the PAC learnability of binary classes through the Vapnik-Chervonenkis dimension. Extending this characterization to the general multiclass setting has been open since the pioneering works on multiclass PAC learning in the late 1980s. This work resolves this problem: we characterize multiclass PAC learnability ... more >>>




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