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15
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Stationary policy assumption in Bellman equation.

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#machine-learning
98
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Minimising inconclusive range for binary classification with two thresholds

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#optimization #machine-learning #nonlinear-optimization #numerical-optimization #constraints
99
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Can MLPs represent functions exactly for finite inputs?

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#machine-learning #approximation-theory #neural-networks
51
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Manually setting up integral weights of a 2-2-2 neural network.

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#calculus #linear-algebra #machine-learning #neural-networks #artificial-intelligence
56
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IN SVMs, why can't the Lagrange multipliers for support vectors be 0?

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#optimization #convex-optimization #machine-learning #lagrange-multiplier #numerical-optimization
15
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Why local gradient of output node and hidden node are different?

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#machine-learning #gradient-descent #backpropagation
26
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Correct way to substitute variable in an equality

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#machine-learning
13
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Find maximum likelihood estimator of joint probability distribution of Bernoulli variables (for use in mutual information/feature selection)

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#machine-learning #maximum-likelihood #mutual-information
31
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How to find the threshold to split the data based on a feature in decision trees

Published on
#optimization #machine-learning #decision-trees
18
Views

When could a small perturbation in the objective function leave the solution set unchanged?

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#optimization #machine-learning #nonlinear-optimization #lagrange-multiplier #regularization
54
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Stochastic/sequential gradient descent for the perceptron

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#multivariable-calculus #machine-learning #gradient-descent #neural-networks
35
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Quality of suggested alternative to Softmax

Published on
#functions #derivatives #machine-learning
62
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Kernelization of $K$-means

Published on
#functional-analysis #multivariable-calculus #optimization #convex-optimization #machine-learning
59
Views

Known relations between mutual information and covering number?

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#probability #general-topology #probability-theory #statistics #machine-learning
317
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Exploring the convergence properties of a cost function involving orthogonal projection of one-hot vectors

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#optimization #matrix-calculus #machine-learning #gradient-descent #exponential-sum

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