Ch 14 resources for todays lecture is there a learning

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Unformatted text preview: rms: o{en document sets are separable, for most any classifica)on   This is part of why linear classifiers are quite successful in this domain   A linear classifier like Naïve Bayes does badly on this task   kNN will do very well (assuming enough training data) 39 Introduc)on to Informa)on Retrieval Sec.14.5 40 Introduc)on to Informa)on Retrieval Sec.14.5 More Than Two Classes Set of Binary Classifiers: Any of   Any ­of or mul)value classifica)on   Build a separator between each class and its complementary set (docs from all other classes).   Given test doc, evaluate it for membership in each class.   Apply decision criterion of classifiers independently   Done   Classes are independent of each other.   A document can belong to 0, 1, or >1 classes.   Decompose into n binary problems   Quite common for documents   One ­of or mul)nomial or polytomous classifica)on   Classes are...
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