Výsledky vyhľadávania - "Stochastic gradient descent algorithms"

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  1. 1

    Decision-Feedback Equalization for Pulse-Position Modulation Autor Klein, A.G., Duhamel, P.

    ISSN: 1053-587X, 1941-0476
    Vydavateľské údaje: New York, NY IEEE 01.11.2007
    “… Then, we derive a computationally efficient MMSE equalizer which removes these restrictions, and is suitable for use with training-based stochastic gradient-descent algorithms…”
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    Journal Article
  2. 2

    Design of Weed Detection Technique Using Yolo Models Autor M, Sreehari, Jain, Ankur

    Vydavateľské údaje: IEEE 21.06.2024
    “…The use of the ADAM (Adaptive Moment Estimation) and SGD (Stochastic Gradient Descent…”
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    Konferenčný príspevok..
  3. 3

    MMSE decision feedback equalization of pulse position modulated signals Autor Klein, A.G., Johnson, C.R.

    ISBN: 0780385330, 9780780385337
    Vydavateľské údaje: Piscataway, New Jersey IEEE 2004
    “… Then, we derive a computationally efficient MMSE equalizer which removes these restrictions, and is suitable for use with stochastic gradient descent algorithms…”
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    Konferenčný príspevok..
  4. 4

    Fusion of smartphone sensor data for classification of daily user activities Autor Şengül, Gökhan, Ozcelik, Erol, Misra, Sanjay, Damaševičius, Robertas, Maskeliūnas, Rytis

    ISSN: 1380-7501, 1573-7721
    Vydavateľské údaje: New York Springer US 01.10.2021
    Vydané v Multimedia tools and applications (01.10.2021)
    “…) method with a stochastic gradient descent algorithm for construction of optimal decision trees for classification…”
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    Journal Article
  5. 5

    Improved Remote Sensing Image Classification Based on Multi-Scale Feature Fusion Autor Zhang, Chengming, Chen, Yan, Yang, Xiaoxia, Gao, Shuai, Li, Feng, Kong, Ailing, Zu, Dawei, Sun, Li

    ISSN: 2072-4292, 2072-4292
    Vydavateľské údaje: Basel MDPI AG 01.01.2020
    Vydané v Remote sensing (Basel, Switzerland) (01.01.2020)
    “…When extracting land-use information from remote sensing imagery using image segmentation, obtaining fine edges for extracted objects is a key problem that is…”
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    Journal Article
  6. 6

    DECISION MAKING IN DYNAMIC ENVIRONMENTS AN APPLICATION OF MACHINE LEARNING TO THE ANALYTICAL HIERARCHY PROCESS Autor Jassemi-Zargani, Rahim, Kamps, Caelum

    ISSN: 1936-6744, 1936-6744
    Vydavateľské údaje: 19.05.2021
    “… Using the opinions of one or many subject matter experts and the AHP, the relative importance of evidence can be quantified…”
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    Journal Article
  7. 7

    No-reference image quality assessment based on automatic machine learning Autor Qian, Qi, Sang, Qingbing

    ISSN: 2271-2097, 2431-7578, 2271-2097
    Vydavateľské údaje: Les Ulis EDP Sciences 2022
    Vydané v ITM web of conferences (2022)
    “… Mainly through the Differentiable Architecture Search algorithm, the structure of the modular Neural Network unit is searched by the stochastic gradient descent algorithm with better training…”
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    Journal Article Konferenčný príspevok..
  8. 8

    Palm vein recognition based on end-to-end convolutional neural network Autor Du, Dongyang, Lu, Lijun, Fu, Ruiyang, Yuan, Lisha, Chen, Wufan, Liu, Yaqin

    ISSN: 1673-4254
    Vydavateľské údaje: China 28.02.2019
    “… The classification error was minimized via the mini-batch stochastic gradient descent algorithm with momentum to optimize the feature descriptor along with the direction of the gradient descent…”
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    Journal Article
  9. 9

    Joint Hybrid/Passive Beamforming Design in IRS-aided Multi-User MISO Systems for PS-SWIPT Autor Ntougias, Konstantinos, Krikidis, Ioannis

    ISSN: 1948-3252
    Vydavateľské údaje: IEEE 04.07.2022
    “… weights and IRS phase shifts. We also derive a low-complexity, decoupled iterative design where the analog precoder is updated via the stochastic gradient descent algorithm and the PB is computed via…”
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  10. 10

    Design of Peer-to-Peer Transactions for Multi-microgrids Based on Non-cooperative Game Theory and Distributed Machine Learning Autor Li, Jifeng, Pan, Feng, Wang, Yanbo, He, Xingtang, Liang, Xianming, Wu, Jun

    Vydavateľské údaje: IEEE 08.07.2022
    “…, the microgrid, were constructed. Second, the principle of the elastic average stochastic gradient descent algorithm and the distributed machine learning framework based on the algorithm were introduced…”
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  11. 11

    Finding Reusable Modules Using Sparse Matrix Decompositions Autor Chavez, Victor Mireles

    ISBN: 9798351499741
    Vydavateľské údaje: ProQuest Dissertations & Theses 01.01.2021
    “… One commonly accepted property of such modules is that they are redeployed across different conditions, so that sets of elements that have been jointly subject to evolutionary processes are re-purposed…”
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    Dissertation
  12. 12

    A convolutional neural network approach for face verification Autor Khalil-Hani, Mohamed, Liew Shan Sung

    ISBN: 9781479953127, 1479953121
    Vydavateľské údaje: IEEE 01.07.2014
    “… Network training is performed using the stochastic gradient descent algorithm with annealed global learning rate…”
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    Konferenčný príspevok..
  13. 13

    Age Optimal Sampling for Unreliable Channels under Unknown Channel Statistics Autor He, Hongyi, Tang, Haoyue, Pan, Jiayu, Wang, Jintao, Song, Jian, Tassiulas, Leandros

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 24.12.2024
    Vydané v arXiv.org (24.12.2024)
    “… Both channels are subject to random delays. To evaluate the timeliness of the status information at the receiver, we use the Age of Information (AoI) metric…”
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    Paper
  14. 14

    Achieving Robust Data-driven Contextual Decision Making in a Data Augmentation Way Autor Li, Zhaoen, Liu, Maoqi, Zhang, Zhi-Hai

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 09.08.2024
    Vydané v arXiv.org (09.08.2024)
    “… We develop a stochastic gradient descent algorithm based on the idea of data augmentation to solve the model efficiently…”
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    Paper
  15. 15

    Chapter 5 - Verbal sentiment analysis and detection using recurrent neural network Autor Mohanty, Mohan Debarchan, Mohanty, Mihir Narayan

    ISBN: 9780323857086, 0323857094, 0323857086, 9780323857093
    Vydavateľské údaje: Elsevier Inc 2022
    “… out. Some of the versions are recorded from human subjects in different moods. These are deeply analyzed instead of only considering…”
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    Kapitola