标题
A survey on ensemble learning
作者
关键词
ensemble learning, supervised ensemble classification, semi-supervised ensemble classification, clustering ensemble, semi-supervised clustering ensemble
出版物
Frontiers of Computer Science
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-08-30
DOI
10.1007/s11704-019-8208-z
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Improving semi-supervised co-forest algorithm in evolving data streams
- (2018) Yi Wang et al. APPLIED INTELLIGENCE
- Fault Detection and Classification Based on Co-training of Semisupervised Machine Learning
- (2018) Tamer S. Abdelgayed et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Semi-supervised ensemble clustering based on selected constraint projection
- (2018) Zhiwen Yu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Evolutionary under-sampling based bagging ensemble method for imbalanced data classification
- (2018) Bo Sun et al. Frontiers of Computer Science
- Structural diversity for decision tree ensemble learning
- (2018) Tao Sun et al. Frontiers of Computer Science
- Multiobjective Semisupervised Classifier Ensemble
- (2018) Zhiwen Yu et al. IEEE Transactions on Cybernetics
- Progressive Semisupervised Learning of Multiple Classifiers
- (2018) Zhiwen Yu et al. IEEE Transactions on Cybernetics
- Ensemble Transfer Learning Algorithm
- (2018) Xiaobo Liu et al. IEEE Access
- Adaptive Ensembling of Semi-Supervised Clustering Solutions
- (2017) Zhiwen Yu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Multi-objectivization and ensembles of shapings in reinforcement learning
- (2017) Tim Brys et al. NEUROCOMPUTING
- Hyperspectral Image Classification Based on Semi-Supervised Rotation Forest
- (2017) et al. Remote Sensing
- An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification
- (2017) Ashnil Kumar et al. IEEE Journal of Biomedical and Health Informatics
- Adaptive Semi-Supervised Classifier Ensemble for High Dimensional Data Classification
- (2017) Zhiwen Yu et al. IEEE Transactions on Cybernetics
- A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets
- (2017) Zhiwen Yu et al. IEEE Transactions on Cybernetics
- Distribution-Based Cluster Structure Selection
- (2017) Zhiwen Yu et al. IEEE Transactions on Cybernetics
- An Ensemble Deep Learning Method for Vehicle Type Classification on Visual Traffic Surveillance Sensors
- (2017) Wei Liu et al. IEEE Access
- Combined constraint-based with metric-based in semi-supervised clustering ensemble
- (2017) Siting Wei et al. International Journal of Machine Learning and Cybernetics
- Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering
- (2016) Zhiwen Yu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Semi-supervised hierarchical clustering ensemble and its application
- (2016) Wenchao Xiao et al. NEUROCOMPUTING
- Progressive subspace ensemble learning
- (2016) Zhiwen Yu et al. PATTERN RECOGNITION
- Boosting imbalanced data learning with Wiener process oversampling
- (2016) Qian Li et al. Frontiers of Computer Science
- Hybrid $k$ -Nearest Neighbor Classifier
- (2016) Zhiwen Yu et al. IEEE Transactions on Cybernetics
- Semi-supervised learning using frequent itemset and ensemble learning for SMS classification
- (2015) Ishtiaq Ahmed et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning
- (2015) Xi-Zhao Wang et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation
- (2015) Zhiwen Yu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- On Reducing the Effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method
- (2015) Yu Guan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data
- (2015) Zhiwen Yu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams
- (2015) Mohammad Javad Hosseini et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Semi-supervised evolutionary ensembles for Web video categorization
- (2015) Amjad Mahmood et al. KNOWLEDGE-BASED SYSTEMS
- Weighted classifier ensemble based on quadratic form
- (2015) Shasha Mao et al. PATTERN RECOGNITION
- A novel dynamic rough subspace based selective ensemble
- (2015) Yuwei Guo et al. PATTERN RECOGNITION
- Hybrid Adaptive Classifier Ensemble
- (2015) Zhiwen Yu et al. IEEE Transactions on Cybernetics
- Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine
- (2015) Le Zhang et al. IEEE Transactions on Cybernetics
- Parallel Semi-supervised Multi-Ant Colonies Clustering Ensemble Based on MapReduce Methodology
- (2015) Yan Yang et al. IEEE Transactions on Cloud Computing
- Sentiment analysis: Bayesian Ensemble Learning
- (2014) E. Fersini et al. DECISION SUPPORT SYSTEMS
- Exploring the diversity in cluster ensemble generation: Random sampling and random projection
- (2014) Fan Yang et al. EXPERT SYSTEMS WITH APPLICATIONS
- An Improved Ensemble Learning Method for Classifying High-Dimensional and Imbalanced Biomedicine Data
- (2014) Hualong Yu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Probabilistic cluster structure ensemble
- (2014) Zhiwen Yu et al. INFORMATION SCIENCES
- A novel classifier ensemble method with sparsity and diversity
- (2014) Xu-Cheng Yin et al. NEUROCOMPUTING
- Hybrid clustering solution selection strategy
- (2014) Zhiwen Yu et al. PATTERN RECOGNITION
- Random Forests with ensemble of feature spaces
- (2014) Le Zhang et al. PATTERN RECOGNITION
- Large Iterative Multitier Ensemble Classifiers for Security of Big Data
- (2014) Jemal H. Abawajy et al. IEEE Transactions on Emerging Topics in Computing
- Combining extreme learning machines using support vector machines for breast tissue classification
- (2013) Mohammad Reza Daliri COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
- Sparse Classifier Fusion for Speaker Verification
- (2013) Ville Hautamaki et al. IEEE Transactions on Audio Speech and Language Processing
- A Fast Simple Optical Flow Computation Approach Based on the 3-D Gradient
- (2013) Yuanwei Li et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Classifier Ensembles with the Extended Space Forest
- (2013) Mehmet Fatih Amasyali et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering
- (2013) Dong-Jun Yu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- [Front Cover]
- (2013) IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Hybrid Fuzzy Cluster Ensemble Framework for Tumor Clustering from Biomolecular Data
- (2013) Zhiwen Yu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Using Bayesian networks for selecting classifiers in GP ensembles
- (2013) C. De Stefano et al. INFORMATION SCIENCES
- HMM-based hybrid meta-clustering ensemble for temporal data
- (2013) Yun Yang et al. KNOWLEDGE-BASED SYSTEMS
- Random subspace evidence classifier
- (2013) Haisheng Li et al. NEUROCOMPUTING
- Region-of-interest extraction in low depth of field images using ensemble clustering and difference of Gaussian approaches
- (2013) G. Rafiee et al. PATTERN RECOGNITION
- Ensemble clustering by means of clustering embedding in vector spaces
- (2013) Lucas Franek et al. PATTERN RECOGNITION
- Multi-class AdaBoost
- (2013) Trevor Hastie et al. Statistics and Its Interface
- Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm
- (2013) Dariusz Brzezinski et al. IEEE Transactions on Neural Networks and Learning Systems
- Feature Selection Inspired Classifier Ensemble Reduction
- (2013) Ren Diao et al. IEEE Transactions on Cybernetics
- Semi-supervised ensemble classification in subspaces
- (2012) Guoxian Yu et al. APPLIED SOFT COMPUTING
- Reliable Classification of Vehicle Types Based on Cascade Classifier Ensembles
- (2012) Bailing Zhang IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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- (2012) Amir Alush et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Efficient Clustering Aggregation Based on Data Fragments
- (2012) Ou Wu et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Ensemble Clustering for Internet Security Applications
- (2012) Weiwei Zhuang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
- SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles
- (2012) Zhiwen Yu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- From cluster ensemble to structure ensemble
- (2012) Zhiwen Yu et al. INFORMATION SCIENCES
- How large should ensembles of classifiers be?
- (2012) Daniel Hernández-Lobato et al. PATTERN RECOGNITION
- Stratified sampling for feature subspace selection in random forests for high dimensional data
- (2012) Yunming Ye et al. PATTERN RECOGNITION
- Cluster ensembles in collaborative filtering recommendation
- (2011) Chih-Fong Tsai et al. APPLIED SOFT COMPUTING
- Exploiting unlabeled data to enhance ensemble diversity
- (2011) Min-Ling Zhang et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning
- (2011) Brijesh Verma et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles
- (2011) Ludmila I. Kuncheva IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- SOMRuler: A Novel Interpretable Transmembrane Helices Predictor
- (2011) Dongjun Yu et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- Embedded Feature Ranking for Ensemble MLP Classifiers
- (2011) T Windeatt et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers
- (2011) A Rahman et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
- (2011) M. Galar et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
- DICLENS: Divisive Clustering Ensemble with Automatic Cluster Number
- (2011) Selim Mimaroglu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Enhanced clustering of biomedical documents using ensemble non-negative matrix factorization
- (2011) Xiaodi Huang et al. INFORMATION SCIENCES
- Supervised subspace projections for constructing ensembles of classifiers
- (2011) Nicolás García-Pedrajas et al. INFORMATION SCIENCES
- Hybrid cluster ensemble framework based on the random combination of data transformation operators
- (2011) Zhiwen Yu et al. PATTERN RECOGNITION
- Generalized Adjusted Rand Indices for cluster ensembles
- (2011) Shaohong Zhang et al. PATTERN RECOGNITION
- Robust ensemble learning for mining noisy data streams
- (2010) Peng Zhang et al. DECISION SUPPORT SYSTEMS
- Rough set and ensemble learning based semi-supervised algorithm for text classification
- (2010) Lei Shi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Speaker Diarization Exploiting the Eigengap Criterion and Cluster Ensembles
- (2010) N Bassiou et al. IEEE Transactions on Audio Speech and Language Processing
- Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations
- (2010) Yun Yang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Random Subspace Ensembles for fMRI Classification
- (2010) L.I. Kuncheva et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Identifying Protein-Kinase-Specific Phosphorylation Sites Based on the Bagging–AdaBoost Ensemble Approach
- (2010) Zhiwen Yu et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- Active Learning From Stream Data Using Optimal Weight Classifier Ensemble
- (2010) Xingquan Zhu et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- CA-Tree: A Hierarchical Structure for Efficient and Scalable Coassociation-Based Cluster Ensembles
- (2010) Tsaipei Wang IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- A dynamic classifier ensemble selection approach for noise data
- (2010) Jin Xiao et al. INFORMATION SCIENCES
- Co-training with relevant random subspaces
- (2010) Yusuf Yaslan et al. NEUROCOMPUTING
- Learn++.MF: A random subspace approach for the missing feature problem
- (2010) Robi Polikar et al. PATTERN RECOGNITION
- A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples
- (2010) Jianchun Zhang et al. PATTERN RECOGNITION
- Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management
- (2010) Lean Yu et al. Frontiers of Computer Science in China
- Soft spectral clustering ensemble applied to image segmentation
- (2010) Jianhua Jia et al. Frontiers of Computer Science in China
- Multi-View Semi-Supervised Learning for Dialog Act Segmentation of Speech
- (2009) U. Guz et al. IEEE Transactions on Audio Speech and Language Processing
- Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
- (2009) Yu Su et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- On Exploration of Classifier Ensemble Synergism in Pedestrian Detection
- (2009) L. Oliveira et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Discrimination of Breast Tumors in Ultrasonic Images Using an Ensemble Classifier Based on the AdaBoost Algorithm With Feature Selection
- (2009) A. Takemura et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Class Discovery From Gene Expression Data Based on Perturbation and Cluster Ensemble
- (2009) Zhiwen Yu et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- Constructing Ensembles of Classifiers by Means of Weighted Instance Selection
- (2009) N. Garcia-Pedrajas IEEE TRANSACTIONS ON NEURAL NETWORKS
- An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation
- (2009) G. Martinez-Muoz et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- On voting-based consensus of cluster ensembles
- (2009) Hanan G. Ayad et al. PATTERN RECOGNITION
- Fuzzy ensemble clustering based on random projections for DNA microarray data analysis
- (2008) Roberto Avogadri et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
- (2008) Kyung-Joong Kim et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Spectral Clustering Ensemble Applied to SAR Image Segmentation
- (2008) Xiangrong Zhang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Evolved Feature Weighting for Random Subspace Classifier
- (2008) L. Nanni et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Learn$^{++}$.NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes
- (2008) M.D. Muhlbaier et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Statistical Instance-Based Pruning in Ensembles of Independent Classifiers
- (2008) D. Hernandez-Lobato et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- AdaBoost-Based Algorithm for Network Intrusion Detection
- (2008) Weiming Hu et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Exploratory Undersampling for Class-Imbalance Learning
- (2008) Xu-Ying Liu et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- A dynamic overproduce-and-choose strategy for the selection of classifier ensembles
- (2008) Eulanda M. Dos Santos et al. PATTERN RECOGNITION
- A scalable framework for cluster ensembles
- (2008) Prodip Hore et al. PATTERN RECOGNITION
- Cluster Ensemble Selection
- (2008) Xiaoli Z. Fern et al. Statistical Analysis and Data Mining
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