#

ensemble-methods

Here are 5 public repositories matching this topic...

self-paced-ensemble

ZhiningLiu1998 / self-paced-ensemble

Star

ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

machine-learning pypi python3 classification ensemble ensemble-learning class-imbalance ensemble-model imbalanced-data imbalanced-learning ensemble-methods imbalance-classification imbalanced-learn

Updated Jun 29, 2021
Python

Curt-Park / handwritten_digit_recognition

Star

Handwritten digit recognition with MNIST & Keras

python mnist image-recognition resnet vgg16 residual-networks handwritten-digit-recognition deep-convolutional-networks wide-residual-networks mobilenet ensemble-methods super-learner

Updated Oct 2, 2020
Python

YisongMiao / CS5228-project

Star

Winning 2nd place🥈at NUS CS5228 in-class Kaggle competition 2018!

data-mining text-classification svm tokenizer ensemble-methods

Updated Nov 13, 2018
Jupyter Notebook

agusticonesagago / Evaluation-of-methods-to-combine-predictions-from-ensemble-learning-in-multivariate-forecasting

Star

This project studies different possibilities to make good predictions based on machine learning algorithms, but without requiring great theoretical knowledge from the users. Moreover, a software package that implements the prediction process has been developed. The software is an ensemble method that first predicts a value taking into account different algorithms at the same time, and then it combines their results considering also the previous performance of each algorithm to obtaina final prediction of the value. Moreover, the solution proposed and implemented in this project can also predict according to a concrete objective (e.g., optimize theprediction, or do not exceed the real value) because not every prediction problem is subject to the same constraints. We have experimented and validated the implementation with three different cases. In all of them, a better performance has been obtained in comparison with each of the algorithms involved, reaching improvements of 45 to 95%.

python machine-learning regression ensemble-learning incremental-learning self-adaptive-systems ensemble-methods online-supervised-learning

Updated Jan 12, 2021
Jupyter Notebook

ajayarunachalam / metaEnsembleR

Star

Intuitive Package for Heterogeneous Ensemble Meta-Learning (Classification, Regression) that is fully-automated

automation regression classification predictive-modeling meta-learning stacked-ensembles ensemble-machine-learning ensemble-methods heterogenous generalization-error

Updated Oct 28, 2020
R

Improve this page

Add a description, image, and links to the ensemble-methods topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ensemble-methods topic, visit your repo's landing page and select "manage topics."