Description: A python implementation of mGBDT proposed in [1]. A demo implementation of mGBDT library as well as some demo client scripts to demostrate how to use the code. The …

May 31, 2018 · In this work, we propose the multi-layered GBDT forest (mGBDTs), with an explicit emphasis on exploring the ability to learn hierarchical representations by stacking several …

This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) . - kingfengji/mGBDT

A demo implementation of mGBDT library as well as some demo client scripts to demostrate how to use the code. The implementation is flexible enough for modifying the model or fit your own...

In this work, we propose the multi-layered GBDT forest (mGBDTs), with an explicit emphasis on exploring the ability to learn hierarchical representations by stacking several layers of …

mGBDT是南京大学 周志华 老师在深度森林之后进一步扩展GBDT模型形成的深度模型训练方法。 相比使用 深度森林算法，mGBDT算法更为巧妙地构造了误差反向传播的方式，从而使得构建 …

In this work, we propose the multi-layered GBDT forest (mGBDTs), with an explicit emphasis on exploring the ability to learn hierarchical distributed representations by stacking several...

In this work, we propose the multi-layered GBDT forest (mGBDTs), with an explicit emphasis on exploring the ability to learn hierarchical representations by stacking several layers of …

such representation learning ability. In this work, we propose the multi-layered GBDT forest (mGBDTs), with an explicit emphasis on exploring the ability to learn hierarchical …

In this work, we propose the multi-layered GBDT forest (mGBDTs), with an explicit emphasis on exploring the ability to learn hierarchical distributed representations by stacking several layers …