2 papers
cs.LG2018
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series
Axel Brando, Jose A. Rodríguez-Serrano, Mauricio Ciprian +2
Deep Learning is a consolidated, state-of-the-art Machine Learning tool to fit a function when provided with large data sets of examples. However, in regression tasks, the straight…
cs.LG2018
Reinforcement Learning for Fair Dynamic Pricing
Roberto Maestre, Juan Duque, Alberto Rubio +1
Unfair pricing policies have been shown to be one of the most negative perceptions customers can have concerning pricing, and may result in long-term losses for a company. Despite…