Machine Learning for Computer Vision - Lecture 1 (Dr. Rudolph Triebel) HD

youtube 11.11.2013

Lecturer: Dr. Rudolph Triebel (TU München) Topics covered: - Linear Regression, General Formulation - Polynomial, Gaussian, Sigmoidal Basis Functions - Overfitting and Regularization - Maximim-likelihood and Maximum-a-posteriori Estimation - Bayesian Linear Regression

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