Explore advanced techniques in query optimization and evaluation with a focus on variable elimination and tensor decomposition in this comprehensive lecture from the Logic and Algorithms in Database Theory and AI Boot Camp. Delve into the intricacies of these powerful methods as presented by Hung Ngo from RelationalAI, gaining valuable insights into their applications in database theory and artificial intelligence. Learn how these techniques can significantly enhance query performance and efficiency in complex data systems.
Query Optimization and Evaluation 3 - Variable Elimination and Tensor Decomposition
Overview
Syllabus
Query Optimization and Evaluation 3: Variable Elimination and Tensor Decomposition
Taught by
Simons Institute
Related Courses
-
Query Optimization and Evaluation 1 - Output Size Bounds and Information Theory
-
Query Optimization and Evaluation 2 - Worst-Case Optimal Join Algorithms
-
Query Optimization and Evaluation - Instance Optimality
-
Applied Linear Algebra in AI and ML
-
Algebraic Structures in Logic and Query Evaluation - Lecture 3
-
Algebraic Structures in Logic and Query Evaluation - Part 2
