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Closure of balls in Reproducing Kernel Hilbert Space (RKHS)

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#functional-analysis #statistics #machine-learning #reproducing-kernel-hilbert-spaces
42
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Using the convexity of the exponential function, how can I show the following bound?

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#probability #inequality #convex-analysis #exponential-function #machine-learning
56
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A minimax optimization with $\ell_p$ constraint

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#optimization #convex-optimization #linear-programming #machine-learning
95
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Why do we use average iterates when implementing SGD?

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#optimization #convex-optimization #machine-learning #numerical-optimization #gradient-descent
44
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How a gradient gives direction of steepest ascent in gradient decent algorithm to find direction of minima

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#vector-spaces #partial-derivative #machine-learning #gradient-descent #neural-networks
38
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How to prove SoftTriple loss convex optimization closed form equivalence?

Published on
#convex-optimization #machine-learning
103
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Why using MSE in Neural network despite it turns out to be non convex function

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#machine-learning #neural-networks #mean-square-error
54
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what is the derivative function log(f(x+y)) with respect to x?

Published on
#machine-learning
39
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How do I solve this prediction like problem?

Published on
#algorithms #machine-learning
24
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Determining Viability of Chi-squared for Feature Selection

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#statistics #machine-learning #chi-squared
55
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Using Chi-squared Tests for Feature Selection with Big Data?

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#statistics #machine-learning #chi-squared
62
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How to simplify integrals in the conditionals/marginals in a Bayesian Network

Published on
#machine-learning #bayesian-network
863
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Is a hyper-plane uniquely defined by a single normal vector?

Published on
#linear-algebra #geometry #machine-learning #orthogonality
61
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Perceptron linearly separable but not linearly separable through the origin

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#machine-learning
105
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Why can't a single layer neural network not solve the AND problem?

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#machine-learning #gradient-descent #neural-networks

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