tum.de/fall2018/ in2357

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Transkrypt:

https://piazza.com/ tum.de/fall2018/ in2357

Prof. Daniel Cremers From to Classification

Categories of Learning (Rep.) Learning Unsupervised Learning clustering, density estimation Supervised Learning learning from a training data set, inference on the test data Reinforcement Learning no supervision, but a reward function Classification target set is continuous, e.g. Y = R target set is discrete, e.g. Y =[1,...,C] Computer Vision!3

Visualisation Linear Principle: Minimise loss function during training Use the found parameters for prediction!4

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sha1_base64="y+un4abymsibp4d5znhp5y0fsuy=">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</latexit> <latexit sha1_base64="y+un4abymsibp4d5znhp5y0fsuy=">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</latexit> Visualisation Linear Principle: Minimise loss function during training Use the found parameters for prediction Bayesian Linear Principle: Compute parameter posterior p(w x, t) from training data During inference, compute the predictive distribution p(t x, x, t) Advantages: Less tendency of overfitting Probabilistic interpretation, uncertainty estimation!5

Visualisation Linear Logistic Bayesian Linear probabilistic reasoning from regression to classification!6

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sha1_base64="3auk+0ftdbq8bgrhhjsq0kfqonq=">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</latexit> Logistic To convert the regression problem into a classification problem, we use a sigmoid function σ() We still use our linear prediction model f(x, w) =w T (x) but now we use the sigmoid function to model a foreground class probability y i = (w T (x i )) i =1,...,N Thus, we consider a two-class problem (binary classification).!8

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sha1_base64="plawgixtbafu5ove+cmu9iwgici=">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</latexit> <latexit sha1_base64="plawgixtbafu5ove+cmu9iwgici=">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</latexit> Logistic Again, we formulate a model of the likelihood of the training data: p(t x, w) = NY i=1 p(t i x i, w) t i 2 {0, 1} But now, we use the Bernoulli distribution: p(t i x i, w) =y t i i (1 y i) (1 t i) And again, we aim to maximise the (log)-likelihood arg max w p(t x, w)!9

Logistic We minimise the negative log-likelihood: E(w) = log p(t 1,...,t N x, w)!10

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sha1_base64="t99u/9q28x6pdjefcaeowqdsga8=">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</latexit> Minimisation Problem: The error equation can not be solved in closed form re(w) = NX ( (w T (x i )) t i ) (x i ) i=1 Instead, we need to apply an iterative approach, e.g. Newton-Raphson 30 20 re(w) w new = w old H 1 re(w) 10 Hessian Matrix w new w old 0 0 1 2 3 4 5 6 7 8 9 10!13

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