Ridgelet network; Regularization; Extreme and incremental learning; Time-series forecasting

论文研究-Pointwise Manifold Regularization for semi-supervised classification.pdf

点状半监督流形正则化分类学习，汪云云，沈雅婷，流形正则化(MR)是经典半监督分类学习方法，同时利用有标记和无标记样本进行学习。依据流形假设，约束流形结构图上相似样本具有相��

Adversarial Regularization for End-to-end Robust Speaker Verification

matlab2016b代码-CURE-Curvature-Regularization-Via-Biharmonic-Extension:“C

matlab2016b代码用于 CURE 的 Github 存储库通过双谐波扩展正则化贴片流形的曲率 ...Regularization For Missing Data Recovery}, author={Dong, Bin and Ju, Haocheng and Lu, Yiping and Shi, Zuoqiang},

Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization:我从不断完善的...

标签： deep-learning optimization regularization hyperparameter-tuning JupyterNotebook

deeplearning.ai的课程第二门第1周-深度学习的实践方面第2周-优化算法第3周-超参数调整，批处理规范化和编程框架

机器学习基石14 - 2 - Weight Decay Regularization (24-08).mp4

论文阅读 Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

标签： python 半监督学习和迁移学习

Adaptive Consistency Regularization for Semi-Supervised Transfer Learning 论文题目：自适应一致性正则化方法用于半监督迁移学习作者单位：百度大数据研究院作者：Abulikemu Abuduweili 代码地址：...

Overfitting-Regularization-RS-:sr hometasks的第二个代表

标签： JupyterNotebook

过度拟合正则化过度拟合的问题RS School。带代码的功课和我的理论解释。

Curricular Contrastive Regularization for Physics-aware Single Image Dehazing (CVPR2023) 论文记录

标签：人工智能深度学习计算机视觉

本文结合构建的物理感知双分支单元和制定的课程学习对比正则化方法，构建了本文的去雾网络结构：C2PNet。实验表明，C2PNet 明显优于SOTA最先进的方法，在 SOTS-indoor 和 SOTS-outdoor 数据集上分别具有 3.94dB 和 ...

Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification

论文阅读理解 - Learning Spatial Regularization for Multi-label Image Classification

标签：论文阅读多标签

Learning Spatial Regularization with Image-level Supervisionsfor Multi-label Image Classification [Caffe-Code] 论文主要通过采用 Attention Model 学习图像的多标签间的关系，然后作为多标签图像分类的空间...

7overfitting and regularization things-笔记1

标签：逻辑回归线性回归

Check all that apply.【D】A. Introducing regularization to the model always result

L1/2 regularization method for multiple-target reconstruction in fluorescent molecular tomography

标签：研究论文

L1/2 regularization method for multiple-target reconstruction in fluorescent molecular tomography

Total-Variation (TV) based image deblurring:Using Total Vairation regularization for image ...

标签： matlab

使用 Total Vairation 正则化进行图像去模糊。

hierarchical-group-sparse-regularization-master.zip

标签：剪枝 vgg16 resnet18、34、50 论文复现

ICPR2020论文《Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks》开源代码，可对模型进行分层分组稀疏正则化，可以根据这个做剪枝，效果接近SOTA，可以对...

CVPR2022论文速递（2022.3.17）！共16篇

标签：算法 mysql java

整理：AI算法与图像处理，分享请注明出处CVPR2022论文和代码整理：https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo欢迎...

Tikhonov-regularization-based projecting sparsity pursuit method for fluorescence molecular ...

For fluorescence molecular tomography (FMT), image ... By studying the reason, a Tikhonov-regularization-based projecting sparsity pursuit method was proposed that reduces the iterations significant

机器学习基石 14 - 3 - Regularization and VC Theory (08-15).mp4

Regularization methods for the short-term forecasting of the Ita

标签： cs

Regularization methods for the short-term forecasting of the Italian electric load_意大利电力负荷短期预测的正则化方法.pdf

吴恩达Coursera深度学习课程 DeepLearning.ai 编程作业——Regularization（2-1.2）

如果数据集没有很大，同时在训练集上又拟合得很好，但是在测试集的效果却不是很好，这时候就要使用正则化来使得其拟合能力不会那么强。import numpy as np import sklearn import matplotlib.pyplot as plt ...

Discriminality-driven regularization framework for indefinite kernel machine

标签： Discriminality-driven regularization; Indefinite kernel machine; Semi-supervised learning; Machine learning

Indefinite kernel machines have attracted more and more interests in machine learning due to their better empirical classification performance than the common positive definite kernel machines in many...