crossrefAI2024-10-22Cited by 11
Machine Learning Models Informed by Connected Mixture Components for Short- and Medium-Term Time Series Forecasting
Andrey K. Gorshenin, Anton L. Vilyaev
This paper presents a new approach in the field of probability-informed machine learning (ML). It implies improving the results of ML algorithms and neural networks (NNs) by using probability models as a source of additional features in situations where it is impossible to increa…