• Corpus ID: 44701070

Local classification and global estimation. Explorations of the k-nearest neighbor algorithm

@inproceedings{Bunt2001LocalCA,
  title={Local classification and global estimation. Explorations of the k-nearest neighbor algorithm},
  author={Harry Bunt and Walter Daelemans and Antal van den Bosch and Iris Hendrickx},
  year={2001}
}
SECURING MACHINE LEARNING CLASSIFIERS WITH INPUT HASHING RE-WEIGHT STRATEGY
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System becomes robust as feature weights are even and avalanche effect makes virtually impossible for an attacker to modify the input data and trick the learner into misclassification.
Detecting Malicious Anomalies in IoT: Ensemble Learners and Incomplete Datasets
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This paper analyses the performance of ensemble learners on incomplete IoT intrusion datasets, represented by point anomalies, and finds that ensemble learners manage these data instances efficiently and provide good anomaly detection rates.
Memory-Based Learning
2 W a l t e rD a e l e m a n sa n dA n t a lv a nd e nB o s c h
Multinomial Language Learning: Investigations into the Geometry of Language
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This document breaches copyright, and access to the work will be removed immediately and investigate the claim.
TiMBL: Tilburg Memory-Based Learner

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