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06/07/2020
Soft Gradient Boosting Machine
Gradient Boosting Machine has proven to be one successful function appro...
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05/22/2019
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder
In this work, we consider one challenging training time attack by modify...
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06/07/2018
GP-RVM: Genetic Programing-based Symbolic Regression Using Relevance Vector Machine
This paper proposes a hybrid basis function construction method (GP-RVM)...
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05/31/2018
Multi-Layered Gradient Boosting Decision Trees
Multi-layered representation is believed to be the key ingredient of dee...
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05/11/2018
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud
Internet companies are facing the need of handling large scale machine l...
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09/26/2017
AutoEncoder by Forest
Auto-encoding is an important task which is typically realized by deep n...
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02/28/2017
Deep Forest: Towards An Alternative to Deep Neural Networks
In this paper, we propose gcForest, a decision tree ensemble approach wi...
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12/07/2016