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Is there conjectures in deep learning theory?

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#machine-learning
622
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Gaussian mixture model and compound multivariate normal distribution

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#probability #statistics #stochastic-processes #terminology #machine-learning
199
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Angular values for input to a neural network

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#calculus #real-analysis #machine-learning #neural-networks
37
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Heavy test for evolutionary algorithm

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#optimization #machine-learning
741
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If the gradient of the logistic loss is never zero, does that mean the minimum can never be achieved?

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#convergence-divergence #optimization #convex-optimization #machine-learning #gradient-descent
2.7k
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How does one show that the likelihood solution for logistic regression has a magnitude of infinity for separable data (Bishop exercise 4.14)?

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#optimization #convex-optimization #machine-learning #gradient-descent #logistic-regression
257
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Can the action-value function be "expanded"?

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#probability #notation #markov-chains #machine-learning #learning
80
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Joint Probability Factorization Into Product of Independents Via Eigenvectors

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#linear-algebra #probability #statistics #eigenvalues-eigenvectors #machine-learning
47
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Why is this simple partial derivative correct?

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#calculus #partial-derivative #machine-learning
67
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Equation derivation in a book for backpropagation in vector-matrix form (Witten 2016)

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#calculus #matrix-calculus #machine-learning
257
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What kind of structure does the set of orthogonal bases in an inner product space form?

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#linear-algebra #abstract-algebra #category-theory #machine-learning
448
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Marginalize over C, can I say $\sum_c P(A,B,C)=\sum_c (P(A|C)P(B|C)P(C))=\sum_c P(A|C) \sum_c P(B|C) \sum_c P(C)$

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#probability #machine-learning #bayesian-network
66
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Elementary reference on Support Vector Machines

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#computer-science #machine-learning #bayesian #data-mining
715
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What does it mean to "marginalize noise"?

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#probability #statistics #machine-learning
103
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Perceptron - Convergence proof

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#real-analysis #proof-verification #machine-learning

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