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Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T)

(9 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • L17.1 Lecture Overview (M-I-T)
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
2
  • L17.2 LLMS Formulation (M-I-T)
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
3
  • L17.3 Solution to the LLMS Problem (M-I-T)
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
4
  • L17.4 Remarks on the LLMS Solution and on the Error Variance (M-I-T)
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
5
  • L17.5 LLMS Example (M-I-T)
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
6
  • L17.6 LLMS for Inferring the Parameter of a Coin (M-I-T)
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
7
  • L17.7 LLMS with Multiple Observations (M-I-T)
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
8
  • L17.8 The Simplest LLMS Example with Multiple Observations (M-I-T)
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
9
  • L17.9 The Representation of the Data Matters in LLMS (M-I-T)
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences

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