Selecting training sets for support vector machines: a review

Learning With Auxiliary Less-Noisy Labels

(2017) Yunyan Duan et al.   IEEE Transactions on Neural Networks and Learning Systems

Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis

(2016) Nele Verbiest et al.   APPLIED SOFT COMPUTING

Large-scale support vector machine classification with redundant data reduction

(2016) Xiang-Jun Shen et al.   NEUROCOMPUTING

On-line twin independent support vector machines

(2016) Fatemeh Alamdar et al.   NEUROCOMPUTING

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

(2016) Jakub Nalepa et al.   NEUROCOMPUTING

Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets

(2016) José A. Sáez et al.   PATTERN RECOGNITION

Big Data: Theoretical Aspects [Scanning the Issue]

(2016) Simon Haykin et al.   PROCEEDINGS OF THE IEEE

Bidirectional reservoir networks trained using SVM $$+$$ + privileged information for manufacturing process modeling

(2016) Ali Rodan et al.   SOFT COMPUTING

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

(2016) Peng Liu et al.   SOFT COMPUTING

A survey of machine learning for big data processing

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

Data selection based on decision tree for SVM classification on large data sets

(2015) Jair Cervantes et al.   APPLIED SOFT COMPUTING

Multidimensional data classification with chordal distance based kernel and Support Vector Machines

(2015) Bogusław Cyganek et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A Competent Memetic Algorithm for Learning Fuzzy Cognitive Maps

(2015) Giovanni Acampora et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data

(2015) Hualong Yu et al.   KNOWLEDGE-BASED SYSTEMS

Deep learning

(2015) Yann LeCun et al.   NATURE

Support vector machines under adversarial label contamination

(2015) Huang Xiao et al.   NEUROCOMPUTING

Fast data selection for SVM training using ensemble margin

(2015) Li Guo et al.   PATTERN RECOGNITION LETTERS

Hierarchical classification in text mining for sentiment analysis of online news

(2015) Jinyan Li et al.   SOFT COMPUTING

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

(2015) Jakub Nalepa et al.   SOFT COMPUTING

Global Nonlinear Kernel Prediction for Large Data Set With a Particle Swarm-Optimized Interval Support Vector Regression

(2015) Yongsheng Ding et al.   IEEE Transactions on Neural Networks and Learning Systems

Machine learning applications in cancer prognosis and prediction

(2015) Konstantina Kourou et al.   Computational and Structural Biotechnology Journal

A Multi-Label Learning Based Kernel Automatic Recommendation Method for Support Vector Machine

(2015) Xueying Zhang et al.   PLoS One

Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification

(2014) Jui-Sheng Chou et al.   EXPERT SYSTEMS WITH APPLICATIONS

Primal explicit max margin feature selection for nonlinear support vector machines

(2014) Aditya Tayal et al.   PATTERN RECOGNITION

Classification in the Presence of Label Noise: A Survey

(2014) Benoit Frenay et al.   IEEE Transactions on Neural Networks and Learning Systems

Simultaneous data pre-processing and SVM classification model selection based on a parallel genetic algorithm applied to spectroscopic data of olive oils

(2013) Olivier Devos et al.   FOOD CHEMISTRY

Value-at-risk support vector machine: stability to outliers

(2013) Peter Tsyurmasto et al.   JOURNAL OF COMBINATORIAL OPTIMIZATION

Convex and concave hulls for classification with support vector machine

(2013) Asdrúbal López Chau et al.   NEUROCOMPUTING

A GA-based model selection for smooth twin parametric-margin support vector machine

(2013) Zhen Wang et al.   PATTERN RECOGNITION

Spatial-based skin detection using discriminative skin-presence features

(2013) Michal Kawulok et al.   PATTERN RECOGNITION LETTERS

Human detection in surveillance videos and its applications - a review

(2013) Manoranjan Paul et al.   EURASIP Journal on Advances in Signal Processing

Online Support Vector Machine Based on Convex Hull Vertices Selection

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

A dynamic model selection strategy for support vector machine classifiers

(2012) Marcelo N. Kapp et al.   APPLIED SOFT COMPUTING

An intelligent noise reduction method for chaotic signals based on genetic algorithms and lifting wavelet transforms

(2012) XiaoHong Han et al.   INFORMATION SCIENCES

InstanceRank based on borders for instance selection

(2012) Pablo Hernandez-Leal et al.   PATTERN RECOGNITION

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

Selecting training points for one-class support vector machines

(2011) Yuhua Li   PATTERN RECOGNITION LETTERS

Classification and regression trees

(2011) Wei-Yin Loh   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

A review of instance selection methods

(2010) J. Arturo Olvera-López et al.   ARTIFICIAL INTELLIGENCE REVIEW

Clifford Support Vector Machines for Classification, Regression, and Recurrence

(2010) Eduardo Jose Bayro-Corrochano et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Scaling Up Support Vector Machines Using Nearest Neighbor Condensation

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

Selecting Critical Patterns Based on Local Geometrical and Statistical Information

(2010) Yuhua Li et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification

(2010) Sangyoon Oh et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Automatic Ground-Truth Validation With Genetic Algorithms for Multispectral Image Classification

(2009) N. Ghoggali et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

TABU SEARCH MODEL SELECTION FOR SVM

(2008) GILLES LEBRUN et al.   International Journal of Neural Systems

COLOR IMAGE SEGMENTATION WITH SUPPORT VECTOR MACHINES: APPLICATIONS TO ROAD SIGNS DETECTION

(2008) BOGUSŁAW CYGANEK   International Journal of Neural Systems

Selecting valuable training samples for SVMs via data structure analysis

(2007) Defeng Wang et al.   NEUROCOMPUTING

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

(2007) Jair Cervantes et al.   NEUROCOMPUTING