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Machine Learning Summer School (MLSS), Tübingen 200718 Videos · Aug 20, 2007 Machine Learning is a foundational discipline of the Information Sciences. It combines theory from areas as diverse as Statistics, Mathematics, Engineering, and Information Technology with many practical and relevant real life applications. The aim of the summer school is to cover the entire spectrum from theory to practi
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N. L. Zhang and H. Guo, Introduction to Bayesian Networks, Science Press, Beijing, 2006 Lecture Notes Chapter 0: Introduction Chapter 1: Multivariate Probability & Information Theory Chapter 2: Bayesian Networks --- The concept Chapter 3: D-Separation Chapter 4: Inference: The VE Algorithm part1 part2 Chapter 5: Inference as Message Propagation Chapter 6: Approximate Inference Chapter 7: Parameter
Algorithm Design Course Materials 2013 Oct 7: Introduction and Computational Complexity Oct 15: Search Trees Oct 21: Combinatorial Optimization Oct 28: Heuristic Search Nov 5: Text Search Nov 11: Data Compression Nov 18: Memory Management Nov 25: Graph Algorithms 1/2 Dec 2: Graph Algorithms 2/2 Dec 9: Computational Geometry Dec 16: Concurrency Control Jan 15: Canceled Jan 20: Clustering Course Pro
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