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2. Conjugate Gradient
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1.3 Organization of Thesis
Contents
2 Background
Subsections
2. Conjugate Gradient
2.1 Minimizing Quadratic Forms
2.1.1 The Wrong Iterative Method: Steepest Descent
2.1.2 The Right Iterative Method: Conjugate Gradient
2.2 Minimizing Arbitrary Convex Functions With Conjugate Gradient
3. Linear Regression
3.1 Normal Model
3.2 Ridge Regression
4. Logistic Regression
4.1 Logistic Model
4.2 Maximum Likelihood Estimation
4.3 Iteratively Re-weighted Least Squares
4.4 Logistic Regression for Classification
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2. Conjugate Gradient
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thesis
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1.3 Organization of Thesis
Contents
Copyright 2004 Paul Komarek,
komarek@cmu.edu