- Review the paper "Efficient Learning Algorithms for Changing Environment : https://icml.cc/Conferences/2009/papers/75.pdf
- Implement the "Follow-the-Leading-History(FLH)" algorithms
- use dataset which incluldes sensor value and measurement value obtained from manufacturing process and product
- Programming Language / Package : Python, Numpy, Scikit-learn(metrics)
- Algorithms for implementation
- Modified Ridge Regression
- Aggregating Algorithm for Regression
- Follow-the-Leading-History(FLH) algorithm
Prediction values for every time step of data with AAR and FLH algorithms
- Efficient Learning Algorithms for Changing Environments : https://icml.cc/Conferences/2009/papers/75.pdf
- Adaptive Algorithms for Online Decision Problems : https://www.researchgate.net/publication/220138797_Adaptive_Algorithms_for_Online_Decision_Problems
- Non-stationary Online Regression : https://arxiv.org/abs/2011.06957
- Online Ridge Regression Method Using Sliding Windows : https://www.researchgate.net/publication/236648230_Online_Ridge_Regression_Method_Using_Sliding_Windows