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12/08/2022
Fast Parallel Bayesian Network Structure Learning
Bayesian networks (BNs) are a widely used graphical model in machine lea...
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12/08/2022
Fast Parallel Exact Inference on Bayesian Networks: Poster
Bayesian networks (BNs) are attractive, because they are graphical and i...
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11/21/2019
Entity Extraction with Knowledge from Web Scale Corpora
Entity extraction is an important task in text mining and natural langua...
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11/11/2019
Privacy-Preserving Gradient Boosting Decision Trees
The Gradient Boosting Decision Tree (GBDT) is a popular machine learning...
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11/11/2019
Practical Federated Gradient Boosting Decision Trees
Gradient Boosting Decision Trees (GBDTs) have become very successful in ...
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11/08/2019
Adaptive Kernel Value Caching for SVM Training
Support Vector Machines (SVMs) can solve structured multi-output learnin...
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07/23/2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Federated learning has been a hot research area in enabling the collabor...
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07/23/2019