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Tuning Parameter Selection Based on Blocked $$3\times 2$$ Cross-Validation for High-Dimensional Linear Regression Model
Springer Science and Business Media LLC - Tập 51 - Trang 1007-1029 - 2019
In high-dimensional linear regression, selecting an appropriate tuning parameter is essential for the penalized linear models. From the perspective of the expected prediction error of the model, cross-validation methods are commonly used to select the tuning parameter in machine learning. In this paper, blocked $$3\times 2$$ cross-validation ($$3\times 2$$ BCV) is proposed as the tuning parameter ......
Application of Hyperspectral Image Classification Based on Overlap Pooling
Springer Science and Business Media LLC - Tập 49 - Trang 1335-1354 - 2018
Convolutional neural networks (CNN) are increasingly being used in hyperspectral image (HSI) classification. However, most pooling methods are non-overlap pooling and ignore the influence of neighboring pixels on image characteristics, thereby limiting network classification accuracy. This work presents a deep CNN that is based on overlap pooling; in this model, non-overlap pooling is replaced wit......
A Transfer Learning Algorithm Based on Support Vector Machine
Springer Science and Business Media LLC - - 2022
In many scenarios of classification, test and training data must come from same feature space and have same distribution. However, this assumption may not be satisfactory in many practical applications. In recent years, the emergence of transfer learning has provided a new technology to solve this problem. Aiming at problems that the existing transfer learning algorithms only utilize the data in s......
A Dynamic Adaptive and Resource-Allocated Selection Method Based on TOPSIS and VIKOR in Federated Learning
Springer Science and Business Media LLC - - 2024
Federated learning (FL) is a decentralized and privacy-preserving machine learning technique that protects data privacy by learning models locally and not sharing datasets. However, due to limited computing resources on devices and highly heterogeneous data in practical situations, the training efficiency and resource utilization of federated learning is low. In order to resolve these challenges, ......
A Multi-strategy Improved Sparrow Search Algorithm and its Application
Springer Science and Business Media LLC - Tập 55 - Trang 12309-12346 - 2023
In order to address the issues of slow convergence and susceptibility to falling into the local optimum trap of the original sparrow search algorithm, a novel multi-strategy improved sparrow search algorithm (MSSSA) is proposed. Firstly, an improved tent chaotic mapping is introduced to enhance the diversity and quality of the initial population distribution. Secondly, an adaptive adjustment strat......
Spatio-Temporal Learning for Video Deblurring based on Two-Stream Generative Adversarial Network
Springer Science and Business Media LLC - Tập 53 - Trang 2701-2714 - 2021
Video-deblurring has achieved excellent results by using deep learning approaches. How to capture the dynamic spatio-temporal information in the videos is crucial on deblurring. In this paper, we propose a two-stream DeblurGAN which combines a 3D stream with a 2D stream to deblur. The 3D convolution provides spatial and temporal invariance to restore the foreground of frames, while the 2D convolut......
Rule-Based Learning Systems for Support Vector Machines
Springer Science and Business Media LLC - Tập 24 - Trang 1-18 - 2006
In this article, we propose some methods for deriving symbolic interpretation of data in the form of rule based learning systems by using Support Vector Machines (SVM). First, Radial Basis Function Neural Networks (RBFNN) learning techniques are explored, as is usual in the literature, since the local nature of this paradigm makes it a suitable platform for performing rule extraction. By using sup......
A Stable, Unified Density Controlled Memetic Algorithm for Gene Regulatory Network Reconstruction Based on Sparse Fuzzy Cognitive Maps
Springer Science and Business Media LLC - Tập 50 - Trang 2843-2870 - 2019
Gene regulatory networks (GRNs) denote the interrelation among genes in the genomic level. GRNs have a sparse network structures, and as a simulation of GRNs, the density of The Dialogue for Reverse Engineering Assessments and Methods (DREAM) challenge is less than 5%. So using sparse models to represent GRNs is a meaningful task. Fuzzy cognitive maps (FCMs) have been used to reconstruct GRNs.
How......
An Improved Finite Time Convergence Recurrent Neural Network with Application to Time-Varying Linear Complex Matrix Equation Solution
Springer Science and Business Media LLC - Tập 53 - Trang 777-786 - 2021
Linear matrix equation (LME) is a kind of very important mathematical equation, and many practical problems in scientific and engineering fields can be described by LMEs in mathematics. In this paper, an improved finite time convergence zeroing neural network (FTCZNN) for online solving time-varying linear complex matrix equation (TVLCME) is realized. Different from the exponential convergence con......
Cost Sensitive Semi-Supervised Canonical Correlation Analysis for Multi-view Dimensionality Reduction
Springer Science and Business Media LLC - Tập 45 - Trang 411-430 - 2016
To deal with the cost sensitive and semi-supervised learning problems in Multi-view Dimensionality Reduction (MDR), we propose a Cost Sensitive Semi-Supervised Canonical Correlation Analysis
$$(\hbox {CS}^{3}\hbox {CCA}). \hbox {CS}^{3}\hbox {CCA}$$
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