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MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time
  Series Forecasting

MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting

26 March 2018
Bernardo Pérez Orozco
G. Abbati
Stephen J. Roberts
    OOD
    AI4TS
ArXivPDFHTML

Papers citing "MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting"

4 / 4 papers shown
Title
Complex Sequential Data Analysis: A Systematic Literature Review of
  Existing Algorithms
Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms
Kudakwashe Dandajena
I. Venter
Mehrdad Ghaziasgar
Reg Dodds
AI4TS
15
2
0
22 Jul 2020
Data-driven Prognostics with Predictive Uncertainty Estimation using
  Ensemble of Deep Ordinal Regression Models
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models
T. Vishnu
Diksha Garg
Pankaj Malhotra
L. Vig
Gautam M. Shroff
UQCV
24
15
0
23 Mar 2019
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1