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Signal processing
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Classroom Contents
From Information Theory to Learning via Statistical Physics - Introduction
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- 1 US-India Advanced Studies Institute: Classical and Quantum Information
- 2 From information theory to learning via Statistical physics: Introduction: Statistical learning, Bayes rules, estimators, and statistical physics
- 3 Topics
- 4 Connecting physics and information theory
- 5 Example 1: "Classical statistics"
- 6 Prove
- 7 Solve the problem
- 8 Assume uniform prior
- 9 Prove
- 10 Fischer information
- 11 Example 2: High dimension statistics
- 12 Signal processing
- 13 Regression
- 14 Statistical physics problem
- 15 Back to abasing formulation
- 16 Claim
- 17 Statistical mechanics
- 18 3. Estimated and base optimality
- 19 Bayes risks
- 20 Discrete problem
- 21 Summary
