"Kernel Methods for Text Analysis"

Nello Cristianini
UC Davis
Department of Statistics

"We will review some general ideas of how kernel methods can be used to embed text documents in a semantically meaningful way, and how PCA, CCA, and string matching algorithms are used in this context."

Audio (MP3 File, Podcast Ready)

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