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Probabilistic Models of Relational Domains

Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube

Tags

Probabilistic Models Courses Artificial Intelligence Courses Data Mining Courses Machine Learning Courses Bayesian Networks Courses Statistical Inference Courses

Course Description

Overview

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Explore a comprehensive lecture on probabilistic models of relational domains presented by Stanford's Daphne Koller at the Center for Language & Speech Processing (CLSP) at Johns Hopkins University. Delve into advanced concepts and techniques for modeling complex relational data structures using probabilistic frameworks. Gain insights into the application of these models in various domains, including natural language processing, social network analysis, and bioinformatics. Learn about the challenges and opportunities in representing and reasoning with uncertain relational information, and discover cutting-edge approaches to address these issues. Examine case studies and practical examples that demonstrate the power and versatility of probabilistic relational models in real-world scenarios.

Syllabus

Probabilistic Models of Relational Domains - Daphne Koller (Stanford)


Taught by

Center for Language & Speech Processing(CLSP), JHU

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