Reduction of training data for support vector machine: a survey

A hybrid method for increasing the speed of SVM training using belief function theory and boundary region

(2019) Somaye Moslemnejad et al.   International Journal of Machine Learning and Cybernetics

CBCH (clustering-based convex hull) for reducing training time of support vector machine

(2019) Pardis Birzhandi et al.   JOURNAL OF SUPERCOMPUTING

Reduction of Training Data Using Parallel Hyperplane for Support Vector Machine

(2019) Pardis Birzhandi et al.   APPLIED ARTIFICIAL INTELLIGENCE

Selecting training sets for support vector machines: a review

(2018) Jakub Nalepa et al.   ARTIFICIAL INTELLIGENCE REVIEW

Exploring the effect of data reduction on Neural Network and Support Vector Machine classification

(2018) Stefanos Ougiaroglou et al.   NEUROCOMPUTING

A fast classification strategy for SVM on the large-scale high-dimensional datasets

(2017) I-Jing Li et al.   PATTERN ANALYSIS AND APPLICATIONS

Fast Extended One-Versus-Rest Multi-Label Support Vector Machine Using Approximate Extreme Points

(2017) Zhongwei Sun et al.   IEEE Access

Application of time series analysis and PSO–SVM model in predicting the Bazimen landslide in the Three Gorges Reservoir, China

(2016) Chao Zhou et al.   ENGINEERING GEOLOGY

Large-scale support vector machine classification with redundant data reduction

(2016) Xiang-Jun Shen et al.   NEUROCOMPUTING

Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs

(2016) Jakub Nalepa et al.   NEUROCOMPUTING

SVM or deep learning? A comparative study on remote sensing image classification

(2016) Peng Liu et al.   SOFT COMPUTING

Fast and de-noise support vector machine training method based on fuzzy clustering method for large real world datasets

(2016) Omid Naghash ALMASI et al.   Turkish Journal of Electrical Engineering and Computer Sciences

A survey of machine learning for big data processing

(2016) Junfei Qiu et al.   EURASIP Journal on Advances in Signal Processing

Maximum margin classification based on flexible convex hulls

(2015) Ming Zeng et al.   NEUROCOMPUTING

A method to improve support vector machine based on distance to hyperplane

(2015) Shu-yin Xia et al.   OPTIK

Fast data selection for SVM training using ensemble margin

(2015) Li Guo et al.   PATTERN RECOGNITION LETTERS

Adaptive memetic algorithm for minimizing distance in the vehicle routing problem with time windows

(2015) Jakub Nalepa et al.   SOFT COMPUTING

A novel data selection technique using fuzzy C-means clustering to enhance SVM-based power quality classification

(2014) K. Manimala et al.   SOFT COMPUTING

Weighted Support Vector Machine Usingk-Means Clustering

(2013) Sungwan Bang et al.   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Online Support Vector Machine Based on Convex Hull Vertices Selection

(2013) Di Wang et al.   IEEE Transactions on Neural Networks and Learning Systems

Large data sets classification using convex–concave hull and support vector machine

(2012) Asdrúbal López Chau et al.   SOFT COMPUTING

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

A hierarchical feature fusion framework for adaptive visual tracking

(2011) Alexandros Makris et al.   IMAGE AND VISION COMPUTING

Neighborhood based sample and feature selection for SVM classification learning

(2011) Qiang He et al.   NEUROCOMPUTING

Scaling Up Support Vector Machines Using Nearest Neighbor Condensation

(2010) F. Angiulli et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A comparison study on multiple binary-class SVM methods for unilabel text categorization

(2010) M. Arun Kumar et al.   PATTERN RECOGNITION LETTERS

The incremental learning algorithm with support vector machine based on hyperplane-distance

(2009) Cunhe Li et al.   APPLIED INTELLIGENCE

Efficient Algorithm for Localized Support Vector Machine

(2009) Haibin Cheng et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Support vector machine classification for large data sets via minimum enclosing ball clustering

(2007) Jair Cervantes et al.   NEUROCOMPUTING