Online Prediction
Online Prediction is a predictive modeling approach that generates forecasts incrementally as new data points arrive, distinguishing itself from batch methods by updating predictions in real time without requiring full retraining on historical data.
786
Publications
40K
Citations
2.7K
Authors
936
Institutions
Publications per year
2017–2026
410
Variants
Incremental Prediction
786
Online learning: A comprehensive survey
Steven C. H. Hoi, Doyen Sahoo, Jing Lu et al. · Neurocomputing · 2021 · 582 citations
Optimal Distributed Online Prediction using Mini-Batches
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir et al. · arXiv (Cornell University) · 2010 · 563 citations · Full text
1–5 of 786
2.7K
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Hong Kong University of Science and Technology, Hong Kong SAR China
8 publications · 368 citations
8
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7
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6
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5
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1–5 of 2.7K
936
Tsinghua University
Beijing, China
17 h-index
67 publications
4.4K citations

Zhejiang University of Technology
Hangzhou, China
16 h-index
46 publications
1.1K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
12 h-index
28 publications
2.1K citations
Nanyang Technological University
Singapore, Singapore
12 h-index
28 publications
1.8K citations

Southeast University
Nanjing, China
12 h-index
30 publications
878 citations

Zhejiang University
Hangzhou, China
12 h-index
47 publications
1.5K citations

Shanghai Jiao Tong University
Shanghai, China
11 h-index
21 publications
964 citations
Microsoft (United States)
Redmond, United States
11 h-index
26 publications
3.4K citations
1–8 of 936
Repository · 35 publications · 1.9K citations
20
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18 publications · 521 citations
17
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14 publications · 797 citations
13
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10 publications · 649 citations
10
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10 publications · 810 citations
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