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A trained ML model is deployed on another `test' dataset where target feature values (labels) are unknown.
“The Magical Number Seven, Plus or Minus Two: Some Limits on Our Capacity for Processing Information”
George. Miller · 1956
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“Adaptive Information Filtering: Learning in the Presence of Concept Drifts”
Ralf Klinkenberg and Ingrid Renz · 1998
Earlier work this paper cites.
“Information Filtering in Changing Domains”
Carsten Lanquillon · 1999
Earlier work this paper cites.
“The MNIST Handwritten Digit Database”, 1999
Yann LeCun, Corinna Cortez and Christopher.J. Burges · 1999
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“Sequential Drift Detection in Deep Learning Classifiers”
Samuel Ackerman, Eitan Farchi and Parijat Dube · 2007
Earlier work this paper cites.
“Drift Detection Using Uncertainty Distribution Divergence”
Patrick Lindstrom, Brian Namee and Sara Delaney · 2011
Cited alongside, same era.
“Exponentially Weighted Moving Average Charts for Detecting Concept Drift”
Gordon J.Ross, Niall. Adams, Dimitris. Tasoulis and David. Hand · 2012
Cited alongside, same era.
“A Unifying View on Dataset Shift in Classification”
Jose. Moreno-Torres et al · 2012
Cited alongside, same era.
“Nonparametric Control Charts for Detecting Arbitrary Distribution Changes”
Gordon. Ross and Niall. Adams · 2012
Cited alongside, same era.
“Local Significant Differences from Non-Parametric Two-Sample Tests”
Tarn Duong · 2013
Cited alongside, same era.
“cpm: Sequential and Batch Change Detection Using Parametric and Nonparametric Methods”
Gordon. Ross · 2015
Later among the works it cites.
“On the Reliable Detection of Concept Drift from Streaming Unlabeled Data”
Tegjyot Sethi and Mehmed Kantardzic · 2017
Later among the works it cites.
“ks: Kernel Smoothing”
Tarn Duong, Matt Wand, Jose Chacon and Artur Gramacki · 2018
Later among the works it cites.
“Automatically detecting data drift in machine learning classifiers”
Samuel Ackerman et al · 2019
Later among the works it cites.
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