Ensemble learning: A survey
Explore this paper's citation graph
Summary
The concept of ensemble learning is introduced, traditional, novel and state‐of‐the‐art ensemble methods are reviewed and current challenges and trends in the field are discussed.
- Type
- article
- Published
- 2018-07-01
- Cited by
- 3,067
- References
- 159
- Access
- Open access
- OpenAlex
- https://openalex.org/W2789758093
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:49291826
Keywords
Ensemble learning, Computer science, Machine learning, Artificial intelligence, Field (mathematics)
References
- Stacked generalization
- The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift
- A Mixture Model for Clustering Ensembles
- Adaptive Error-Correcting Output Codes
- Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
- Decision forest: Twenty years of research
- Nonlinear Boosting Projections for Ensemble Construction
- On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models
- Online bagging and boosting
- A Survey: Clustering Ensembles Techniques
- Soft Margins for AdaBoost
- Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
- Pruning Adaptive Boosting
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
- Randomized Inquiries About Shape: An Application to Handwritten Digit Recognition.
- Solving Multiclass Learning Problems via Error-Correcting Output Codes
- Greedy function approximation: A gradient boosting machine.
- Learning Ensembles from Bites: A Scalable and Accurate Approach
- Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning
- The class imbalance problem: A systematic study
Cited by
- Effective hate-speech detection in Twitter data using recurrent neural networks
- A Probabilistic-driven Ensemble Approach to Perform Event Classification in Intrusion Detection System
- Pose and Expression Invariant Alignment based Multi-View 3D Face Recognition
- Machine-Learning Models for Sales Time Series Forecasting
- An Ensemble Feature Selection Framework Integrating Stability
- Fault Detection of Anti-friction Bearing using Ensemble Machine Learning Methods
- Classification of Human Daily Activities Using Ensemble Methods Based on Smartphone Inertial Sensors
- ECG Segmentation by Neural Networks: Errors and Correction
- Early and Late Fusion of Classifiers for the MediaEval Medico Task
- Quorums enable optimal pooling of independent judgements in biological systems
- Machine Learning to Predict the Martensite Start Temperature in Steels
- Information flow in logic for distributed systems: Extending graded consequence
- An In-Depth Study on Open-Set Camera Model Identification
- A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources
- Assuring the Machine Learning Lifecycle
- Differential Evolution Based Model Selection Approach for Machine Learning
- Hermes: an ensemble machine learning architecture for protein secondary structure prediction
- Maximizing diversity by transformed ensemble learning
- Formation lithology classification using scalable gradient boosted decision trees
- Beyond majority: Label ranking ensembles based on voting rules
Related papers
- Ensemble machine learning methods in screening electronic health records: A scoping review
- Theoretical Evaluation of Ensemble Machine Learning Techniques
- A Comparative Study of Different Ensemble Learning Techniques Using Wisconsin Breast Cancer Dataset
- A Calibration of Multi-model Ensemble for Weather Prediction of PyeongChang Area
- Artificial Intelligence-Based Ensemble Learning Model for Prediction of Hepatitis C Disease
- ENSEMBLE LEARNING ALGORITHMS
- The ensemble approach to forecasting: A review and synthesis