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How good is the Electricity benchmark for evaluating concept drift
  adaptation

How good is the Electricity benchmark for evaluating concept drift adaptation

15 January 2013
Indrė Žliobaitė
ArXiv (abs)PDFHTML

Papers citing "How good is the Electricity benchmark for evaluating concept drift adaptation"

11 / 11 papers shown
Title
A Scalable Approach to Covariate and Concept Drift Management via
  Adaptive Data Segmentation
A Scalable Approach to Covariate and Concept Drift Management via Adaptive Data Segmentation
Vennela Yarabolu
Govind V Waghmare
Sonia Gupta
Siddhartha Asthana
94
0
0
23 Nov 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in
  Real-World Environments
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
Paulius Rauba
Nabeel Seedat
Krzysztof Kacprzyk
Mihaela van der Schaar
AI4CE
97
2
0
31 Oct 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A
  Cross-Field Perspective
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
Jeng-Lin Li
Chih-Fan Hsu
Ming-Ching Chang
Wei-Chao Chen
OOD
100
2
0
20 Feb 2024
Learning from Data Streams: An Overview and Update
Learning from Data Streams: An Overview and Update
Jesse Read
Indr.e vZliobait.e
56
4
0
30 Dec 2022
Data-SUITE: Data-centric identification of in-distribution incongruous
  examples
Data-SUITE: Data-centric identification of in-distribution incongruous examples
Nabeel Seedat
Jonathan Crabbé
Mihaela van der Schaar
OOD
64
14
0
17 Feb 2022
Sketches for Time-Dependent Machine Learning
Sketches for Time-Dependent Machine Learning
Jesus Antonanzas
Marta Arias
Albert Bifet
20
0
0
26 Aug 2021
Challenges in Benchmarking Stream Learning Algorithms with Real-world
  Data
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data
Vinicius M. A. Souza
Denis Moreira dos Reis
André Gustavo Maletzke
Gustavo E. A. P. A. Batista
OODAI4TS
72
132
0
30 Apr 2020
McDiarmid Drift Detection Methods for Evolving Data Streams
McDiarmid Drift Detection Methods for Evolving Data Streams
Ali Pesaranghader
H. Viktor
E. Paquet
107
64
0
05 Oct 2017
GOOWE: Geometrically Optimum and Online-Weighted Ensemble Classifier for
  Evolving Data Streams
GOOWE: Geometrically Optimum and Online-Weighted Ensemble Classifier for Evolving Data Streams
Hamed Bonab
Fazli Can
44
25
0
08 Sep 2017
Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift
  Detection Methods for Evolving Data Streams
Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams
Ali Pesaranghader
H. Viktor
E. Paquet
49
65
0
07 Sep 2017
Concept Drift Detection and Adaptation with Hierarchical Hypothesis
  Testing
Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing
Shujian Yu
Zubin Abraham
Heng Wang
Mohak Shah
Yantao Wei
José C. Príncipe
54
53
0
25 Jul 2017
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