Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail.
Sushil PuniaKonstantinos NikolopoulosSurya Prakash SinghJitendra K. MadaanKonstantia LitsiouPublished in: Int. J. Prod. Res. (2020)
Keyphrases
- multi channel
- random forests
- deep learning
- demand forecasting
- random forest
- supply chain
- decision trees
- logistic regression
- ensemble methods
- unsupervised learning
- machine learning algorithms
- machine learning
- historical data
- weakly supervised
- forecasting accuracy
- data sets
- computer vision
- neural network
- markov random field
- higher order
- supervised learning
- information extraction
- training data
- mental models