4.7 Article

Adaptiveness and consistency of a class of online ensemble learning algorithms

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Online ensemble learning with abstaining classifiers for drifting and noisy data streams

Bartosz Krawczyk et al.

APPLIED SOFT COMPUTING (2018)

Review Computer Science, Artificial Intelligence

Ensemble learning: A survey

Omer Sagi et al.

WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2018)

Article Computer Science, Artificial Intelligence

Ensemble learning for data stream analysis: A survey

Bartosz Krawczyk et al.

INFORMATION FUSION (2017)

Article Computer Science, Artificial Intelligence

Online Multimodal Ensemble Learning Using Self-Learned Sensorimotor Representations

Martina Zambelli et al.

IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2017)

Article Computer Science, Theory & Methods

A Survey on Ensemble Learning for Data Stream Classification

Heitor Murilo Gomes et al.

ACM COMPUTING SURVEYS (2017)

Article Automation & Control Systems

An on-line weighted ensemble of regressor models to handle concept drifts

Symone Gomes Soares et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)

Article Computer Science, Artificial Intelligence

A survey of multiple classifier systems as hybrid systems

Michal Wozniak et al.

INFORMATION FUSION (2014)

Article Computer Science, Information Systems

Combining block-based and online methods in learning ensembles from concept drifting data streams

Dariusz Brzezinski et al.

INFORMATION SCIENCES (2014)

Article Computer Science, Artificial Intelligence

DDD: A New Ensemble Approach for Dealing with Concept Drift

Leandro L. Minku et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2012)

Article Computer Science, Artificial Intelligence

Exponentially weighted moving average charts for detecting concept drift

Gordon J. Ross et al.

PATTERN RECOGNITION LETTERS (2012)

Article Computer Science, Artificial Intelligence

Robust ensemble learning for mining noisy data streams

Peng Zhang et al.

DECISION SUPPORT SYSTEMS (2011)

Article Automation & Control Systems

An Efficient Tree Classifier Ensemble-Based Approach for Pedestrian Detection

Yanwu Xu et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2011)

Article Computer Science, Information Systems

Adaptive Online Prediction Using Weighted Windows

Shin-ichi Yoshida et al.

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (2011)

Article Computer Science, Artificial Intelligence

The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift

Leandro L. Minku et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)

Article Automation & Control Systems

Ensemble algorithms in reinforcement learning

Marco A. Wiering et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2008)

Article Automation & Control Systems

An ensemble-based incremental learning approach to data fusion

Devi Parikh et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2007)