Algorithmic Learning in a Random World, Paperback by Vovk, Vladimir; Gammerma...
170,80 €
Algorithmic Learning in a Random World contains, in addition to proofs of validity, results about the efficiency of conformal predictors. The only assumption required for validity is that of "randomness" (the prediction algorithm is presented with independent and identically distributed examples); in later chapters, even the assumption of randomness is significantly relaxed.
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