Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution

SAMN: A Sample Attention Memory Network Combining SVM and NN in One Architecture

MaxMin-L2-SVC-NCH: A New Method to Train Support Vector Classifier with the Selection of Model’s Parameters

Compressing convolutional neural networks with cheap convolutions and online distillation

An intelligent detection method for plasmodium based on self-supervised learning and attention mechanism

Hybrid Knowledge Distillation from Intermediate Layers for Efficient Single Image Super-Resolution

Constraints-Aware Training (CAT) to Enable Software-Hardware Co-design for Memristor-based Analog Neuromorphic Chip

Some Support Vector Regression Machines with Given Empirical Risks Partly

A Novel Focal Ordinal Loss for Assessment of Knee Osteoarthritis Severity

Automatic Sparse Connectivity Learning for Neural Networks

A new framework for graph neural network with local information diffusion

A method of multi-models fusion for speaker recognition

Grading scoring of knee osteoarthritis based on adaptive ordinal penalty weighted deep neural networks

A three-stage method for batch-based incremental nonnegative matrix factorization

A method of speaker recognition for small-scale speakers based on one-versus-rest and neural network

An unsupervised keyphrase extraction model by incorporating structural and semantic information

Image Super-Resolution via Simplified Dense Network With Non-Degenerate Layers

A method based on support vector machine for voice activity detection on isolated words

High-frequency stock trend forecast using LSTM model

An alternate method between generative objective and discriminative objective in training classification Restricted Boltzmann Machine

Compression artifact removal using multi-scale reshuffling convolutional network

A recommendation approach based on the theory of reasoned action

Low-rank representation for single image superresolution using metric learning

Improving the integration of piece wise linear representation and weighted support vector machine for stock trading signal prediction

A joint residual network with paired ReLUs activation for image super-resolution

Finding the clusters with potential value in financial time series based on agglomerative hierarchical clustering

Training restricted Boltzmann Machine with dynamic learning rate

A support vector classification model with partial empirical risks given

Structural damage detection based on posteriori probability support vector machine and Dempster-Shafer evidence theory

An automatic classification system for the stock comments

Structure damage detection based on random forest recursive feature elimination

Background modeling method based on histogram analysis and normality test

A new pruning method for decision tree based on structural risk of leaf node

Structural damage detection method based on random forests and data fusion

Using the maximum between-class variance for automatic gridding of cDNA microarray images

Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction

A study on feature selection for trend prediction of stock trading price

Margin optimization based pruning for random forest

Random forest based potential k nearest neighbor classifier and its application in gene expression data

Background Subtraction Method Based on Block-Wise Mixture Models

Background extraction algorithm based on K-means clustering algorithm and histogram analysis

Improving the Computational Efficiency of Recursive Cluster Elimination for Gene Selection

A soft-margin support vector machine based on normal convex hulls

Methods of forward feature selection based on the aggregation of classifiers generated by single attribute

Maximum robustness criterion on kernel selection of support vector machine

Margin based variable importance for random forest

The parameter optimization of Gaussian function via the similarity comparison within class and between classes

Fault diagnosis of transformer based on random forest

Support vector regression machines with given empirical risk

A new parameter selection method for support vector machine based on the decision value

Soft margin support vector classification by L-infinity norm

Gene selection using random forest and proximity differences criterion on DNA microarray data

Feature selection of random forest-based proximity matrix difference

Automatic gridding of DNA microarray images based on heuristic algorithm

An empirical study on balance of trade in China based on random forest regression model

Feature selection for text classification using OR+SVM-RFE

Integrated application of uniform design and least-squares support vector machines to transfection optimization

Noise estimation and reduction in microarray images

Some new support vector machine models under given empirical risk

Accuracy of classifier combining based on majority voting

An imbalanced training data SVM classification problem based on Riemannian metric

Rank space diversity: A diversity measure of base kernel matrices

A strategy of maximizing the sum of weighted margins for ranking multi classification problem

A comparison of strategies for unbalance sample distribution in support vector machine

A study on pieeewise polynomial smooth approximation to the plus function