Related references
Note: Only part of the references are listed.Generalized Variant Support Vector Machine
Majid Mohammadi et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021)
Collaborative Learning-Based Clustered Support Vector Machine for Modeling of Nonlinear Processes Subject to Noise
Xinjiang Lu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2020)
A Novel Ensemble ELM for Human Activity Recognition Using Smartphone Sensors
Zhenghua Chen et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers
Hamed Bonab et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation
Zhongke Gao et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces
Yu Zhang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
Stacked Blockwise Combination of Interpretable TSK Fuzzy Classifiers by Negative Correlation Learning
Ta Zhou et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)
An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system
Zhongke Gao et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Random subspace based ensemble sparse representation
Jing Gu et al.
PATTERN RECOGNITION (2018)
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
C. L. Philip Chen et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
An automated method for sleep staging from EEG signals using normal inverse Gaussian parameters and adaptive boosting
Ahnaf Rashik Hassan et al.
NEUROCOMPUTING (2017)
Ensemble Learning With Weak Classifiers for Fast and Reliable Unknown Terrain Classification Using Mobile Robots
Ayan Dutta et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2017)
An approach to EEG-based emotion recognition using combined feature extraction method
Yong Zhang et al.
NEUROSCIENCE LETTERS (2016)
Probabilistic Common Spatial Patterns for Multichannel EEG Analysis
Wei Wu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)
Multisource Data Ensemble Modeling for Clinker Free Lime Content Estimate in Rotary Kiln Sintering Processes
Weitao Li et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2015)
Concept Drift-Oriented Adaptive and Dynamic Support Vector Machine Ensemble With Time Window in Corporate Financial Risk Prediction
Jie Sun et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2013)
A hybrid ensemble approach for enterprise credit risk assessment based on Support Vector Machine
Gang Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Handwritten character recognition using wavelet energy and extreme learning machine
Binu P. Chacko et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2012)
Generic Object Detection Using Improved Gentleboost Classifier
Li Guo et al.
INTERNATIONAL CONFERENCE ON SOLID STATE DEVICES AND MATERIALS SCIENCE (2012)
Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms
Akin Ozcift et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2011)
Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms
Fabien Lotte et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2011)
Support vector machine based multiagent ensemble learning for credit risk evaluation
Lean Yu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
Composite Common Spatial Pattern for Subject-to-Subject Transfer
Hyohyeong Kang et al.
IEEE SIGNAL PROCESSING LETTERS (2009)
The BCI competition III:: Validating alternative approaches to actual BCI problems
Benjamin Blankertz et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2006)
Double-bagging: combining classifiers by bootstrap aggregation
T Hothorn et al.
PATTERN RECOGNITION (2003)
Limits on the majority vote accuracy in classifier fusion
LI Kuncheva et al.
PATTERN ANALYSIS AND APPLICATIONS (2003)
Design of effective neural network ensembles for image classification purposes
G Giacinto et al.
IMAGE AND VISION COMPUTING (2001)
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
TG Dietterich
MACHINE LEARNING (2000)