AdaBoost Neural Network
The main idea of this simple repository is to build an ensemble of the Multi-layer perceptrons (classifier and regressor) with the AdaBoost boosting approach.
The main idea of this simple repository is to build an ensemble of the Multi-layer perceptrons (classifier and regressor) with the AdaBoost boosting approach.
baseline for the "Multi-target regression via input space expansion: treating targets as inputs" (Spyromitros-Xioufis, Eleftherios, et al.) experiments. Having a baseline for the reference experiment brings more insight into the advantages of using output as an input in the model.
A gradient boosting classifier based on the tensorflow. A wrapper of the tf.BoostedTree of tensorflow based on the Sklearn standard.
Technique for Order of Preference by Similarity to Ideal Solution.