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Showing 1 - 20 results of 2,255 for search '(( algorithm spc function ) OR ((( algorithm within function ) OR ( algorithm pca function ))))', query time: 0.42s Refine Results
  1. 1
    Performance of PCA and Joint Autoencoder (JAE) denoising algorithms.

    Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. by Ege Altan (11768156)

    Published 2021
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  2. 2
    Loss functions between PCA-DNN model and PCA-LSTM model.

    Loss functions between PCA-DNN model and PCA-LSTM model. by Cihun-Siyong Alex Gong (11874066)

    Published 2021
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  3. 3
    Explained variance ration of the PCA algorithm.

    Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

    Published 2025
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  4. 4
    PCA of full simulated repertoire using sequence descriptors.

    PCA of full simulated repertoire using sequence descriptors. by Katharina Waury (14203284)

    Published 2025
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  5. 5
    Dimensionality of noise free datasets.

    Dimensionality of noise free datasets. by Ege Altan (11768156)

    Published 2021
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  6. 6
    Dimensionality of noise free datasets with unequal variance.

    Dimensionality of noise free datasets with unequal variance. by Ege Altan (11768156)

    Published 2021
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  7. 7
    Recommended analysis pipeline for estimating the dimensionality of multi-electrode array recordings.

    Recommended analysis pipeline for estimating the dimensionality of multi-electrode array recordings. by Ege Altan (11768156)

    Published 2021
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  8. 8
    Testing function diagram of QIMPN-PCA-DC.

    Testing function diagram of QIMPN-PCA-DC. by Jun Zhao (59250)

    Published 2025
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  9. 9
    The loss function of network structures, LPC-DNN, LPC-PCA-DNN, LPC-LSTM, LPC-PCA-LSTM, MFCC-DNN, MFCC-PCA-DNN, MFCC-LSTM and MFCC-PCA-LSTM, as the epoch increases.

    The loss function of network structures, LPC-DNN, LPC-PCA-DNN, LPC-LSTM, LPC-PCA-LSTM, MFCC-DNN, MFCC-PCA-DNN, MFCC-LSTM and MFCC-PCA-LSTM, as the epoch increases. by Cihun-Siyong Alex Gong (11874066)

    Published 2021
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  10. 10
    Function graph and algorithm iterative graph.

    Function graph and algorithm iterative graph. by WanRu Zhao (18980374)

    Published 2024
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  11. 11
    Network propagation improves the correlation between mRNA and protein levels of ageing tissues (brain and liver) and PCa samples.

    Network propagation improves the correlation between mRNA and protein levels of ageing tissues (brain and liver) and PCa samples. by Konstantina Charmpi (9901053)

    Published 2021
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  12. 12
    Our algorithms process large data sets within a minute.

    Our algorithms process large data sets within a minute. by Manu Aggarwal (15990691)

    Published 2023
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  13. 13
    Results of proposed algorithms and algorithms in [9] for 18 instances.

    Results of proposed algorithms and algorithms in [9] for 18 instances. by Jin Zhang (53297)

    Published 2023
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  14. 14
    Inter-replicate consistency and within-patient similarity across network smoothing.

    Inter-replicate consistency and within-patient similarity across network smoothing. by Konstantina Charmpi (9901053)

    Published 2021
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  15. 15
    Functions of genes, detected simultaneously in 3 "diseased" blocks («Prostate Disease», «PCa», «Not PCa») and missing in the "Healthy" block and one gene (HRAS), found only in the block "Healthy" (STRING data).

    Functions of genes, detected simultaneously in 3 "diseased" blocks («Prostate Disease», «PCa», «Not PCa») and missing in the "Healthy" block and one gene (HRAS), found only in the... by O. E. Bryzgunova (6577043)

    Published 2019
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  16. 16
    PCA calculation FRHGs score.

    PCA calculation FRHGs score. by Lixia Chen (614030)

    Published 2023
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  17. 17
    Activation functions: Sigmoid function and ReLU function.

    Activation functions: Sigmoid function and ReLU function. by Wan-Hua Zhang (21601139)

    Published 2025
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  18. 18
    Illustration of methods based on Green’s function first-passage algorithms.

    Illustration of methods based on Green’s function first-passage algorithms. by Jean Marc Tregan (15195173)

    Published 2023
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  19. 19
    Genes that contribute to PCA and GO terms of enriched and differentially expressed genes. GO, gene ontology; PCA, principal component analysis.

    Genes that contribute to PCA and GO terms of enriched and differentially expressed genes. GO, gene ontology; PCA, principal component analysis. by Tomokatsu Udagawa (11675636)

    Published 2021
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  20. 20
    APSO–CNN and FNN algorithms’ loss function training sets.

    APSO–CNN and FNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

    Published 2022
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