A survey on ensemble learning
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Summary
Challenges and possible research directions for each mainstream approach of ensemble learning are presented and an extra introduction is given for the combination of ensemblelearning with other machine learning hot spots such as deep learning, reinforcement learning, etc.
- Type
- article
- Published
- 2019-08-30
- Cited by
- 1,867
- References
- 186
- OpenAlex
- https://openalex.org/W2970602317
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:201667785
Keywords
Computer science, Ensemble learning, Machine learning, Artificial intelligence, Field (mathematics)
References
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- Multi-class AdaBoost ∗
- Rough set and ensemble learning based semi-supervised algorithm for text classification
- Using bayesian networks for selecting classifiers in GP ensembles
- Semi-supervised Ensemble Learning Using Label Propagation
- Double Selection Based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles
- A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles
- Reliable Classification of Vehicle Types Based on Cascade Classifier Ensembles
- Semi-supervised learning using frequent itemset and ensemble learning for SMS classification
- SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles
- Probabilistic cluster structure ensemble
- Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm
- Protein Function Prediction Using Multilabel Ensemble Classification
- A novel cascade ensemble classifier system with a high recognition performance on handwritten digits
- HMM-based hybrid meta-clustering ensemble for temporal data
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- Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles
- Prediction With Unpredictable Feature Evolution
- Ensemble Gradient Boosted Tree for SoH Estimation Based on Diagnostic Features
- Ensemble Learning of Hybrid Acoustic Features for Speech Emotion Recognition
- Comparative Analysis of Low-Dimensional Features and Tree-Based Ensembles for Malware Detection Systems
- AUTOMATED NEGOTIATION BASED ON ENSEMBLE LEARNING AND OPTIMAL COUNTER PROPOSAL
- A Comprehensive Real-Time Road-Lanes Tracking Technique for Autonomous Driving
- Potential of RT, bagging and RS ensemble learning algorithms for reference evapotranspiration prediction using climatic data-limited humid region in Bangladesh
- Deep Network Ensemble Learning applied to Image Classification using CNN Trees
- Combining predictive base models using deep ensemble learning
- Data-Driven Inference of COVID-19 Clinical Prognosis
- A Ensemble Learning method for Domain Generation Algorithm Detection
- Recognition of Cross-Language Acoustic Emotional Valence Using Stacked Ensemble Learning
- Anomaly Detection in Automated Vehicles Using Multistage Attention-Based Convolutional Neural Network
- A clusterwise nonlinear regression algorithm for interval-valued data
- Diversity as The Basis for Effective Clustering-Based Classification
- Diversity-driven ANN-based ensemble framework for seasonal low-flow analysis at ungauged sites
- FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply
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