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hessian-free stacked autoencoder (hf-sae)  (SoftMax Inc)

 
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    Structured Review

    SoftMax Inc hessian-free stacked autoencoder (hf-sae)
    Fine-tuning structure <t>(SAE,</t> stacked <t>autoencoder).</t>
    Hessian Free Stacked Autoencoder (Hf Sae), supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/hessian-free+stacked+autoencoder+(hf-sae)/stacked+autoencoder/pmc08382558-67-15-25
    Average 90 stars, based on 1 article reviews
    hessian-free stacked autoencoder (hf-sae) - by Bioz Stars, 2026-10
    90/100 stars

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    1) Product Images from "An Improved Stacked Autoencoder for Metabolomic Data Classification"

    Article Title: An Improved Stacked Autoencoder for Metabolomic Data Classification

    Journal: Computational Intelligence and Neuroscience

    doi: 10.1155/2021/1051172

    Fine-tuning structure (SAE, stacked autoencoder).
    Figure Legend Snippet: Fine-tuning structure (SAE, stacked autoencoder).

    Techniques Used:

    Fine-tuning of experimental results on the five-fold data sets. The red and blue lines represent the GD-SAE and HF-SAE results, respectively. In each subgraph of (a) to (e), (i) shows the FMSE, (ii) shows the CR of the training set, and (iii) shows the CR of the test set (GD-SAE, gradient descent stacked autoencoder; HF-SAE, Hessian-free SAE; FMSE, fine-tuning mean square error; CR, classification rate).
    Figure Legend Snippet: Fine-tuning of experimental results on the five-fold data sets. The red and blue lines represent the GD-SAE and HF-SAE results, respectively. In each subgraph of (a) to (e), (i) shows the FMSE, (ii) shows the CR of the training set, and (iii) shows the CR of the test set (GD-SAE, gradient descent stacked autoencoder; HF-SAE, Hessian-free SAE; FMSE, fine-tuning mean square error; CR, classification rate).

    Techniques Used:



    Similar Products

    hessian-free stacked autoencoder (hf-sae)  (SoftMax Inc)
    90
    SoftMax Inc hessian-free stacked autoencoder (hf-sae)
    Fine-tuning structure <t>(SAE,</t> stacked <t>autoencoder).</t>
    Hessian Free Stacked Autoencoder (Hf Sae), supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/hessian-free+stacked+autoencoder+(hf-sae)/stacked+autoencoder/pmc08382558-67-15-25
    Average 90 stars, based on 1 article reviews
    hessian-free stacked autoencoder (hf-sae) - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Fine-tuning structure (SAE, stacked autoencoder).

    Journal: Computational Intelligence and Neuroscience

    Article Title: An Improved Stacked Autoencoder for Metabolomic Data Classification

    doi: 10.1155/2021/1051172

    Figure Lengend Snippet: Fine-tuning structure (SAE, stacked autoencoder).

    Article Snippet: In this study, we aimed to introduce an improved framework, named Hessian-free [ ] stacked autoencoder (HF-SAE), combining the Hessian-free algorithm and SAE model with Softmax regression for the classification of metabolomic data of NR-treated RA.

    Techniques:

    Fine-tuning of experimental results on the five-fold data sets. The red and blue lines represent the GD-SAE and HF-SAE results, respectively. In each subgraph of (a) to (e), (i) shows the FMSE, (ii) shows the CR of the training set, and (iii) shows the CR of the test set (GD-SAE, gradient descent stacked autoencoder; HF-SAE, Hessian-free SAE; FMSE, fine-tuning mean square error; CR, classification rate).

    Journal: Computational Intelligence and Neuroscience

    Article Title: An Improved Stacked Autoencoder for Metabolomic Data Classification

    doi: 10.1155/2021/1051172

    Figure Lengend Snippet: Fine-tuning of experimental results on the five-fold data sets. The red and blue lines represent the GD-SAE and HF-SAE results, respectively. In each subgraph of (a) to (e), (i) shows the FMSE, (ii) shows the CR of the training set, and (iii) shows the CR of the test set (GD-SAE, gradient descent stacked autoencoder; HF-SAE, Hessian-free SAE; FMSE, fine-tuning mean square error; CR, classification rate).

    Article Snippet: In this study, we aimed to introduce an improved framework, named Hessian-free [ ] stacked autoencoder (HF-SAE), combining the Hessian-free algorithm and SAE model with Softmax regression for the classification of metabolomic data of NR-treated RA.

    Techniques: