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CS480-680 - Hidden Markov Models

Pascal Poupart via YouTube

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Overview

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This course introduces Hidden Markov Models, their assumptions, and key tasks including monitoring, hindsight reasoning, and finding the most likely explanation. It also applies the models to robot localization.

Syllabus

Introduction
Classification
Hidden Markov Models
Assumptions
Summary
Robot Localization
Hidden Markov Model
Tasks
Monitoring Task
hindsight reasoning Task
most likely explanation
Application

Taught by

Pascal Poupart

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