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  1. Frames, Reproducing Kernels, Regularization and Learning(机器学习的好书)

  2. 权威写的关于机器学习的不错的资料,2005年的,也算是新的基础参考文献
  3. 所属分类:专业指导

    • 发布日期:2009-09-05
    • 文件大小:360448
    • 提供者:shelihuang12345
  1. Edge-and-corner preserving regularization for image interpolation and reconstruction

  2. The edge and corner structures are two categories of perceptually important image characteristics, and hence, edge-and-corner preserving regularization is required for many problems in image processing. In this paper, the first novelty is to propose
  3. 所属分类:其它

    • 发布日期:2010-05-11
    • 文件大小:2097152
    • 提供者:zjw19861224
  1. Discrete Inverse Problems: Insight and Algorithms

  2. Inverse problems arise when we reconstruct a sharper image from a blurred one or reconstruct the underground mass density from measurements of the gravity above the ground. When we solve an inverse problem, we compute the source that gives rise to s
  3. 所属分类:专业指导

    • 发布日期:2011-04-02
    • 文件大小:3145728
    • 提供者:yang_88
  1. Tiknov Regularization

  2. 正则化算法的matlab程序,采用Tiknov标准方法计算反问题的程序-Regularization algorithm matlab program, using the program Tiknov standard method to calculate the inverse problem
  3. 所属分类:专业指导

    • 发布日期:2013-04-28
    • 文件大小:1048576
    • 提供者:snowee09
  1. Standford机器学习 逻辑回归(Logistic Regission)以及过拟合问题解决(Regularization)

  2. Standford机器学习 逻辑回归(Logistic Regission)以及过拟合问题解决(Regularization
  3. 所属分类:专业指导

  1. Blind Poissonian images deconvolution with framelet regularization

  2. We propose a maximum a posteriori blind Poissonian images deconvolution approach with framelet regularization for the image and total variation (TV) regularization for the point spread function. Compared with the TV based methods, our algorithm not
  3. 所属分类:其它

    • 发布日期:2013-05-14
    • 文件大小:1048576
    • 提供者:houhuaf
  1. Variational Approach to Super-resolution with Nonlocal TV Regularization Term

  2. Multi frame super resolution SR reconstruction algorithms make use of complimentary information among low resolution LR images to yield a high resolution HR image Inspired by recent development on the video denosing problem we propose a robust varia
  3. 所属分类:专业指导

    • 发布日期:2013-10-27
    • 文件大小:572416
    • 提供者:climber520
  1. Support Vector Machines, Regularization, Optimization

  2. Support Vector Machines, Regularization, Optimization
  3. 所属分类:其它

    • 发布日期:2015-03-02
    • 文件大小:40894464
    • 提供者:andersonkbaba
  1. machine learning Regularization (Week 3) exercise

  2. machine learning Regularization (Week 3) exercise
  3. 所属分类:专业指导

    • 发布日期:2015-04-20
    • 文件大小:248832
    • 提供者:lujiandong1
  1. Posterior Regularization for Structured Latent Variable Models 阅读笔记

  2. Posterior Regularization for Structured Latent Variable Models 一文里第二章的阅读笔记,用中文记录下自己的一些认知
  3. 所属分类:机器学习

    • 发布日期:2017-08-26
    • 文件大小:289792
    • 提供者:yiqingyang2012
  1. Regularization Tools Version 3.2

  2. This is Version 3.2 of Regularization Tools for Matlab 6.0 from Per Christian Hansen, IMM.
  3. 所属分类:其它

    • 发布日期:2009-03-18
    • 文件大小:62464
    • 提供者:tinyway
  1. The Manual of Regularization Tools

  2. The Manual of Regularization Tools
  3. 所属分类:其它

    • 发布日期:2009-03-18
    • 文件大小:2097152
    • 提供者:herryi
  1. 正则化Regularization

  2. 正则化Regularization正则化Regularization正则化Regularization
  3. 所属分类:深度学习

    • 发布日期:2019-07-22
    • 文件大小:11534336
    • 提供者:meijie2018_1
  1. 论文3D MRI brain tumor segmentation using autoencoder regularization

  2. Brats18 NO.1: 3D MRI brain tumor segmentation using autoencoder regularization
  3. 所属分类:深度学习

    • 发布日期:2020-03-06
    • 文件大小:1048576
    • 提供者:weixin_40519315
  1. 吴恩达第二课第一周编程作业Regularization代码

  2. 吴恩达第二课第一周编程作业Regularization代码。
  3. 所属分类:深度学习

    • 发布日期:2020-07-26
    • 文件大小:15360
    • 提供者:weixin_42555985
  1. tensorflow使用L2 regularization正则化修正overfitting过拟合方式

  2. 主要介绍了tensorflow使用L2 regularization正则化修正overfitting过拟合方式,具有很好的参考价值,希望对大家有所帮助。一起跟随小编过来看看吧
  3. 所属分类:其它

    • 发布日期:2020-09-16
    • 文件大小:226304
    • 提供者:weixin_38522106
  1. Deep Neural Networks Hyperparameter tuning, Regularization and Optimization.zip

  2. 吴恩达系列教学码源Deep Neural Networks Hyperparameter tuning, Regularization and Optimization.zip
  3. 所属分类:互联网

    • 发布日期:2021-03-23
    • 文件大小:95420416
    • 提供者:sinat_39620217
  1. Dropout Training as Adaptive Regularization.pdf

  2. Dropout Training as Adaptive Regularization.pdf
  3. 所属分类:深度学习

    • 发布日期:2021-03-12
    • 文件大小:440320
    • 提供者:weixin_44120025
  1. Regularization and variable selection via the elastic net.pdf

  2. Regularization and variable selection via the elastic net.pdf
  3. 所属分类:深度学习

    • 发布日期:2021-03-12
    • 文件大小:330752
    • 提供者:weixin_44120025
  1. Tikhonov-regularization-based projecting sparsity pursuit method for fluorescence molecular tomography reconstruction

  2. For fluorescence molecular tomography (FMT), image quality could be improved by incorporating a sparsity constraint. The L1 norm regularization method has been proven better than the L2 norm, like Tikhonov regularization. However, the Tikhonov method
  3. 所属分类:其它

    • 发布日期:2021-01-26
    • 文件大小:637952
    • 提供者:weixin_38679651
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