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Publication search results
found 9 matches
- 2022
- Ocean Wu
, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
:
Probabilistic exact adaptive random forest for recurrent concepts in data streams. Int. J. Data Sci. Anal. 13(1): 17-32 (2022) - Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
:
Cost-Effective Transfer Learning for Data Streams. ICDM 2022: 1233-1238 - 2021
- Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
:
Transfer Learning with Adaptive Online TrAdaBoost for Data Streams. ACML 2021: 1017-1032 - Thomas Lacombe
, Yun Sing Koh
, Gillian Dobbie, Ocean Wu:
A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams. IJCNN 2021: 1-8 - Ocean Wu
, Yun Sing Koh
, Gillian Dobbie, Thomas Lacombe
:
Nacre: Proactive Recurrent Concept Drift Detection in Data Streams. IJCNN 2021: 1-8 - Jacob Leygonie, Mathieu Carrière, Théo Lacombe, Steve Oudot:
A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis. CoRR abs/2109.00530 (2021) - 2020
- Ocean Wu
, Yun Sing Koh
, Gillian Dobbie, Thomas Lacombe
:
PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams. PAKDD (2) 2020: 17-30 - 2018
- Théo Lacombe, Marco Cuturi, Steve Oudot:
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport. NeurIPS 2018: 9792-9802 - Théo Lacombe, Marco Cuturi, Steve Oudot:
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport. CoRR abs/1805.08331 (2018)
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