Modeling Human Communication Dynamics - 2016
Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube
Course Description
Overview
Explore the cutting-edge research on modeling human communication dynamics in this lecture by Louis-Philippe Morency from Carnegie Mellon University. Delve into the challenges of creating computational technologies that can analyze, recognize, and predict subtle human communicative behaviors in social contexts. Learn about the Human Communication Dynamics framework and its four key computational challenges: behavioral, multimodal, interpersonal, and societal dynamics. Discover new probabilistic models designed to learn temporal and fine-grained latent dependencies across behaviors, modalities, and interlocutors. Gain insights into applications of this research in healthcare, education, business, and social multimedia. Understand how recent advances in machine learning, audio-visual signal processing, and computational linguistics are being leveraged to create more natural and fluid human-computer interactions.
Syllabus
Modeling Human Communication Dynamics -- Louis-Philippe Morency (CMU) - 2016
Taught by
Center for Language & Speech Processing(CLSP), JHU
Related Courses
Fundamentals of Quantitative ModelingUniversity of Pennsylvania via Coursera Теория вероятностей – наука о случайности
Tomsk State University via Stepik Statistics and Data Science
Massachusetts Institute of Technology via edX Natural Language Processing with Probabilistic Models
DeepLearning.AI via Coursera Natural Language Processing
DeepLearning.AI via Coursera