Principal component regression

Results: 297



#Item
1Faster Principal Component Regression  and Stable Matrix Chebyshev Approximation

Faster Principal Component Regression and Stable Matrix Chebyshev Approximation

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Source URL: proceedings.mlr.press

- Date: 2018-02-06 15:06:57
    2Dimensionality Reduction using Symbolic Regression Extended Abstract 1 Ilknur Icke1

    Dimensionality Reduction using Symbolic Regression Extended Abstract 1 Ilknur Icke1

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    Source URL: eniac.cs.qc.cuny.edu

    Language: English - Date: 2011-03-10 09:53:03
    3Tutorial: An example of statistical data analysis using the R environment for statistical computing D G Rossiter Version 1.3; March 8, 2014

    Tutorial: An example of statistical data analysis using the R environment for statistical computing D G Rossiter Version 1.3; March 8, 2014

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    Source URL: www.css.cornell.edu

    Language: English - Date: 2015-10-21 13:33:25
    4CS168: The Modern Algorithmic Toolbox Lecture #7: Understanding and Using Principal Component Analysis (PCA) Tim Roughgarden & Gregory Valiant∗ April 18, 2016

    CS168: The Modern Algorithmic Toolbox Lecture #7: Understanding and Using Principal Component Analysis (PCA) Tim Roughgarden & Gregory Valiant∗ April 18, 2016

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    Source URL: theory.stanford.edu

    Language: English - Date: 2016-06-04 09:49:44
    5Chapter 6  Constructs, Components, and Factor models Parsimony of description has been a goal of science since at least the famous dictum commonly attributed to William of Ockham to not multiply entities beyond necessity

    Chapter 6 Constructs, Components, and Factor models Parsimony of description has been a goal of science since at least the famous dictum commonly attributed to William of Ockham to not multiply entities beyond necessity

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    Source URL: personality-project.org

    Language: English - Date: 2011-08-17 18:07:44
    6Tutorial: Using the R Environment for Statistical Computing An example with the Mercer & Hall wheat yield dataset D G Rossiter University of Twente, Faculty of Geo-Information Science & Earth Observation (ITC)

    Tutorial: Using the R Environment for Statistical Computing An example with the Mercer & Hall wheat yield dataset D G Rossiter University of Twente, Faculty of Geo-Information Science & Earth Observation (ITC)

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    Source URL: www.css.cornell.edu

    Language: English - Date: 2015-10-21 13:33:25
    7This article was downloaded by:[Mitteroecker, Philipp] On: 11 October 2007 Access Details: [subscription numberPublisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 107295

    This article was downloaded by:[Mitteroecker, Philipp] On: 11 October 2007 Access Details: [subscription numberPublisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 107295

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    Source URL: theoretical.univie.ac.at

    Language: English - Date: 2011-02-01 15:41:21
    8A Protocol for Factor Identification by Kuntara Pukthuanthong and Richard Roll Abstract Several hundred factor candidates have been suggested in the literature. We propose a protocol for determining which factor candidat

    A Protocol for Factor Identification by Kuntara Pukthuanthong and Richard Roll Abstract Several hundred factor candidates have been suggested in the literature. We propose a protocol for determining which factor candidat

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    Source URL: www.q-group.org

    Language: English - Date: 2015-12-02 09:40:27
    9Computation-Risk Tradeoffs for Covariance-Thresholded Regression  Dinah Shender∗

    Computation-Risk Tradeoffs for Covariance-Thresholded Regression Dinah Shender∗

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    Source URL: jmlr.org

    Language: English - Date: 2013-08-14 01:36:44
    10A Quantitative Evaluation of Surface Normal Estimation in Point Clouds Krzysztof Jordan1 and Philippos Mordohai1 Abstract— We revisit a well-studied problem in the analysis of range data: surface normal estimation for

    A Quantitative Evaluation of Surface Normal Estimation in Point Clouds Krzysztof Jordan1 and Philippos Mordohai1 Abstract— We revisit a well-studied problem in the analysis of range data: surface normal estimation for

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    Source URL: www.cs.stevens.edu

    Language: English - Date: 2014-07-08 20:28:37