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Theoretical Analysis of an XGBoost Framework for Product Cannibalization
This paper is an extension of our work where we presented a three-stage XGBoost algorithm for forecasting sales under product cannibalization scenario.
An XGBoost-Based Forecasting Framework for Product Cannibalization
Two major challenges in demand forecasting are product cannibalization and long term forecasting.
Supervised Machine Learning for Signals Having RRC Shaped Pulses
Classification performances of the supervised machine learning techniques such as support vector machines, neural networks and logistic regression are compared for modulation recognition purposes.
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