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Pattern Analysis 2018 (QHD 1920)
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Indhold leveret af FAU and Dr. Christian Riess. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af FAU and Dr. Christian Riess eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
This lecture complements (and builds on top of) the lectures "Introduction to Pattern Recognition" and "Pattern Recognition". In this third edition, we focus on modeling of densities, and how to use these models for analyzing the data. Major topics of this lecture are regression, density estimation, manifold learning, hidden Markov models, conditional random fields, and random forests. The lecture is accompanied by exercises, where theoretical results are practically implemented and applied.
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