Applying deep learning to the newsvendor problem

Quantile autoregression neural network model with applications to evaluating value at risk

(2016) Qifa Xu et al.   APPLIED SOFT COMPUTING

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

A review of unsupervised feature learning and deep learning for time-series modeling

(2014) Martin Längkvist et al.   PATTERN RECOGNITION LETTERS

On Implications of Demand Censoring in the Newsvendor Problem

(2013) Omar Besbes et al.   MANAGEMENT SCIENCE

Selecting rows and columns for training support vector regression models with large retail datasets

(2012) Özden Gür Ali et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Quantile regression neural networks: Implementation in R and application to precipitation downscaling

(2010) Alex J. Cannon   COMPUTERS & GEOSCIENCES

A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis

(2008) Tuğba Efendigil et al.   EXPERT SYSTEMS WITH APPLICATIONS