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Multivariate Arrival Times with Recurrent Neural Networks for
  Personalized Demand Forecasting

Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting

29 December 2018
Tianle Chen
Brian Keng
Javier Moreno
    BDL
    AI4TS
ArXivPDFHTML

Papers citing "Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting"

4 / 4 papers shown
Title
Learning to Infer Unobserved Behaviors: Estimating User's Preference for
  a Site over Other Sites
Learning to Infer Unobserved Behaviors: Estimating User's Preference for a Site over Other Sites
Atanu R. Sinha
Tanay Anand
Paridhi Maheshwari
A. V. Lakshmy
Vishal Jain
16
0
0
15 Dec 2023
Clustering-based Aggregations for Prediction in Event Streams
Clustering-based Aggregations for Prediction in Event Streams
Yorick Spenrath
Marwan Hassani
B. V. Dongen
16
0
0
18 Oct 2022
Cellular Traffic Prediction and Classification: a comparative evaluation
  of LSTM and ARIMA
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA
Amin Azari
P. Papapetrou
S. Denic
Gunnar Peters
AI4TS
17
71
0
03 Jun 2019
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
119
1,233
0
02 Jun 2016
1