Questions Tagged With dimensionality-reduction

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dimension reduction of two multivariate Gaussian distributions?

May 31 at 14:05 ml_lady1

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215

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How does the alpha and beta hyperparameter affect the topic generation process?

Apr 07 at 01:33 2er01

latent-dirichlet-allocation latent-variables dimensionality-reduction hyperparameters

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234

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Using Kernel-PCA with SVM

Mar 26 at 12:36 Alexandre Passos ♦23151 (asked by Chris Beaumont31 )

kernel-trick svm dimensionality-reduction

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402

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What is the difference between regular PCA and probabilistic PCA?

Feb 18 at 14:43 Laurens van der Maaten931 (asked by Vittal16 )

dimensionality-reduction pca

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337

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Hierarchical inputs for Convolutional DBN

Sep 26 '12 at 03:46 Casey Basichis16

convolution dbn dimensionality-reduction rbm hierarchical machine-learning unsupervised-learning bayesian

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622

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How to use LDA for cosine approximation?

Sep 15 '12 at 02:53 Joseph Turian ♦♦5430 (asked by yura875 )

dimensionality-reduction lda svd

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245

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Is one of the issues with supervised learning a multiple comparisons problem?

Aug 28 '12 at 14:17 MGMO1

dimensionality-reduction unsupervised-learning unsupervised

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668

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Dimensionality reduction with autoencoders?

Aug 05 '12 at 15:47 Joseph Turian ♦♦5430 (asked by Matt G16 )

deep-learning dimensionality-reduction ica pca autoencoder

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454

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Uniform embedding assumption in manifold learning

Aug 04 '12 at 13:46 Alexandre Passos ♦23151 (asked by MGMO1 )

dimensionality-reduction manifold uniform

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406

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Dimensionality reduction methods similarity

Jul 20 '12 at 19:32 marshallp68

dimensionality-reduction topic-models autoencoder

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972

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Can you think of interesting applications for being able to perform PCA on 10^6 - 10^9 dimensional data?

Nov 09 '11 at 16:49 Keith Stevens621 (asked by ualex146 )

dimensionality-reduction pca large-scale

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Terminology confusion

Aug 23 '11 at 19:24 Neil51

dimensionality-reduction terminology feature-extraction

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Spectral clustering

Jul 11 '11 at 04:45 Laurens van der Maaten931 (asked by maxime caron51 )

clustering dimensionality-reduction t-sne

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Visualize multi-dimensional data on a 2-dim map?

Jun 17 '11 at 09:29 Nikos G16 (asked by Frank1244 )

high-dimensional data-visualization dimensionality-reduction

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What are the pros and cons of using t-SNE

May 04 '11 at 10:49 Laurens van der Maaten931 (asked by Mark Alen1263 )

dimensionality-reduction t-sne pca

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2D projection onto a grid

Mar 03 '11 at 22:13 karpathy236 (asked by grautur796 )

dimensionality-reduction projections

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How does one find the intrinsic dimensionality of the data when singular values decay slowly?

Jan 19 '11 at 05:31 Laurens van der Maaten931 (asked by Oliver Mitevski783 )

high-dimensional dimensionality manifold dimensionality-reduction t-sne rank-k embeddings pca singular-values-decay

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"smart" unsupervised dimensionality reduction and feature selection for "large" problems

Nov 24 '10 at 10:37 Gael Varoquaux851 (asked by downer518 )

dimensionality-reduction feature-selection large-scale

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feature scores: binary vs. tf. tf-idf for document indexing?

Nov 02 '10 at 13:33 Oliver Mitevski783

semantic tf-idf feature dimensionality-reduction

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979

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dimensionality, variance, and size of training set

Oct 15 '10 at 11:27 downer518

dimensionality generalization-performance training-size dimensionality-reduction variance

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PCA on out-of-sample data

Sep 20 '10 at 18:57 Alexandre Passos ♦23151 (asked by ebony181 )

dimensionality-reduction pca

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Using a Feature Quality metric for classification

Sep 16 '10 at 19:08 Alexandre Passos ♦23151 (asked by kpx496 )

dimensionality-reduction filtering

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number of latent dimensions in probabilistic CCA

Jul 27 '10 at 22:25 Alexandre Passos ♦23151 (asked by spinxl393608 )

bayesian dimensionality-reduction cca probabilistic

23questions tagged dimensionality-reduction

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