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Bootstrap aggregating

Known as: Bootstrap aggregation, Bootstrapped Aggregation, Bootstrapping (machine learning) 
Bootstrap aggregating, also called bagging, is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine… 
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Related topics

Related topics

22 relations
AdaBoostBias–variance tradeoffBoosting (machine learning)Bootstrapping (statistics)

Broader (1)

Computational statistics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Removing Bias from Diverse Data Clusters for Ensemble Classification
Diversity plays an important role in successful ensemble classification. One way to diversify the base-classifiers in an ensemble… 
2011
2011
Shortipedia aggregating and curating Semantic Web data
2011
2011
Neural network ensemble modeling for nosiheptide fermentation process based on partial least squares regression
2010
2010
Hyperspectral data classification via sparse representation in homotopy
Sparse representation has significant success in many fields such as signal compression and reconstruction but to the best of our… 
Highly Cited
2009
Highly Cited
2009
Reducing Semantic Drift with Bagging and Distributional Similarity
Iterative bootstrapping algorithms are typically compared using a single set of hand-picked seeds. However, we demonstrate that… 
2009
2009
Adaptive parameter-free learning from evolving data streams
We propose and illustrate a method for developing algorithms that can adaptively learn from data streams that change over time… 
2008
2008
Constraint Projections for Ensemble Learning
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble… 
Highly Cited
2003
Highly Cited
2003
Distributed learning with bagging-like performance
2003
2003
Texture classification of logged forests in tropical Africa using machine-learning algorithms
This Letter describes a procedure that incorporates textural measures in the classification of logged forests from Landsat… 
2000
2000
Bagging and Boosting a Treebank Parser
Bagging and boosting, two effective machine learning techniques, are applied to natural language parsing. Experiments using these… 
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