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Books on the topic 'Réduction de dimension (Statistique)'

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Author: Grafiati

Published: 27 July 2024

Last updated: 28 July 2024

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1

Camara, Diatta. Données pour les politiques et programmes de développement: Besoins d'information statistique dans les Documents de stratégie de réduction de la pauvreté : Atelier régional de formation sur les nouveaux outils d'analyse des données socio-démographiqes issues d'opérations de collecte de grande envergure. Dakar Ponty, Sénégal: UNPFA/Country Technical Services Team Dakar, 2005.

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2

Bolla, Marianna, and Tamás Szabados. Multidimensional Stationary Time Series: Dimension Reduction and Prediction. Taylor & Francis Group, 2021.

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3

Bolla, Marianna, and Tamás Szabados. Multidimensional Stationary Time Series: Dimension Reduction and Prediction. Taylor & Francis Group, 2021.

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4

Multidimensional Stationary Time Series: Dimension Reduction and Prediction. Taylor & Francis Group, 2021.

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5

Multidimensional Stationary Time Series: Dimension Reduction and Prediction. CRC Press LLC, 2023.

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6

Bolla, Marianna. Multidimensional Stationary Time Series. Taylor & Francis Group, 2021.

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7

Greco, Luca, and Alessio Farcomeni. Robust Methods for Data Reduction. Taylor & Francis Group, 2015.

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8

Robust Methods for Data Reduction. Taylor & Francis Group, 2016.

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9

Multilabel Dimensionality Reduction. CRC Press, 2012.

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10

Ye, Jieping, Shuiwang Ji, and Liang Sun. Multi-Label Dimensionality Reduction. Taylor & Francis Group, 2016.

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11

Ye, Jieping, Shuiwang Ji, and Liang Sun. Multi-Label Dimensionality Reduction. Taylor & Francis Group, 2014.

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12

Ye, Jieping, Shuiwang Ji, and Liang Sun. Multi-Label Dimensionality Reduction. Taylor & Francis Group, 2016.

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13

Rish, Irina, and Genady Ya Grabarnik. Sparse Modeling. Taylor & Francis Group, 2020.

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14

Rish, Irina, and Genady Grabarnik. Sparse Modeling. Taylor & Francis Group, 2014.

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15

Rish, Irina, and Genady Grabarnik. Sparse Modeling: Theory, Algorithms, and Applications. Taylor & Francis Group, 2014.

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16

Sparse Modeling: Theory, Algorithms, and Applications. Taylor & Francis Group, 2017.

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17

Tripathy, B. K., Shrusti Ghela, and Anveshrithaa Sundareswaran. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization. Taylor & Francis Group, 2021.

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18

Tripathy, B. K., Shrusti Ghela, and Anveshrithaa Sundareswaran. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization. Taylor & Francis Group, 2021.

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19

Tripathy, B. K., Anveshrithaa S, and Shrusti Ghela. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization. Taylor & Francis Group, 2021.

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20

Kuksin, S., and V. Lazutkin. Seminar on Dynamical Systems: Euler International Mathematical Inst, St. Petersburg, 1991 (Progress in Nonlinear Differential Equations and Their Applications). Birkhauser, 1993.

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21

Lazutkin, Kuksin, and Pöschel. Seminar on Dynamical Systems: Euler International Mathematical Institute, St. Petersburg, 1991. Birkhäuser, 2014.

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22

Kuksin, S., V. Lazutkin, and J. Poschel. Seminar on Dynamical Systems: Euler International Mathematical Institute, St. Petersburg, 1991. Birkhäuser, 2013.

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23

Lazutkin, Kuksin, and Pöschel. Seminar on Dynamical Systems (Progress in Nonlinear Differential Equations and Their Applications). Birkhauser, 1993.

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24

Lazutkin, Kuksin, and Pöschel. Seminar on Dynamical Systems: Euler International Mathematical Institute, St. Petersburg 1991. Birkhauser Verlag, 2013.

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