Out-of-bag error

Known as: OOB, Out-of-bag estimate 
Out-of-bag (OOB) error, also called out-of-bag estimate, is a method of measuring the prediction error of random forests, boosted decision trees, and… (More)
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Papers overview

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2018
2018
The ensemble method random forests has become a popular classification tool in bioinformatics and related fields. The out-of-bag… (More)
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2015
2015
Random Forests (RF) and Boosting are two of the most successful supervised learning paradigms for automatic classification. In… (More)
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2015
2015
In this paper, a 0.8-to-1.4GHz receiver with a tunable, reconfigurable RF SI canceller at the RX input is presented that supports… (More)
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2011
2011
In FDD systems such as WCDMA, strong TX leakage presented at RX imposes stringent RX out-of-band (OOB) IIP3 and IIP2 requirements… (More)
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2010
2010
The performance of m-out-of-n bagging with and without replacement in terms of the sampling ratio (m/n) is analyzed. Standard… (More)
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2010
2010
Non-contiguous orthogonal frequency division multiplexing (NC-OFDM) is an effective transmission method for cognitive radio… (More)
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2003
2003
The Kahn envelope elimination and restoration (EER) technique allows for linear RF power amplification by combining nonlinear… (More)
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Highly Cited
2002
Highly Cited
2002
For two-class datasets, we provide a method for estimating the generalization error of a bag using out-of-bag estimates. In… (More)
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Highly Cited
2001
Highly Cited
2001
The design of the IP protocol makes it difficult to reliably identify the originator of an IP packet. Even in the absence of any… (More)
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1999
1999
We provide a method for estimating the generalization error of a bag using out-of-bag estimates. In bagging, each predictor… (More)
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