Learn about Hidden Markov Models in this comprehensive 29-minute lecture by Pascal Poupart. Explore the framework of Markov Processes and their application in speech recognition and mobile robotics. Dive into the intricacies of Hidden Markov Models, including common tasks and monitoring techniques. Gain insights into the Forward Algorithm and its practical implementation through a case study. Enhance your understanding of probabilistic models and their real-world applications in various fields of computer science and engineering.
Overview
Syllabus
Intro
Framework
Markov Processes
Hidden Markov Model
Speech Recognition
Mobile Robotics
Hidden Markov Models
Common Tasks
Monitoring
Forward Algorithm
Case Study
Taught by
Pascal Poupart
