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7.4 Case Study: CT | 7 Regression | Pattern Recognition Class 2012
UniHeidelberg
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7.5 Regularized Regression | 7 Regression | Pattern Recognition Class 2012
UniHeidelberg
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7.1 Least-Squares Regression | 7 Regression | Pattern Recognition Class 2012
UniHeidelberg
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4.4 The Projection Trick | 4 Neural Networks | Pattern Recognition Class 2012
UniHeidelberg
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11.3 Linear Programming | 11 Optimization | Pattern Recognition Class 2012
UniHeidelberg
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12.1 StructSVM | 12 Structured Learning | Pattern Recognition Class 2012
UniHeidelberg
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