About

The goal of Time Series Prediction is to infer the future values of a time series from the past.

Source: Orthogonal Echo State Networks and stochastic evaluations of likelihoods

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Datasets

Latest papers without code

Distributed Online Learning with Multiple Kernels

25 Feb 2021

We consider the problem of learning a nonlinear function over a network of learners in a fully decentralized fashion.

FEDERATED LEARNING TIME SERIES TIME SERIES PREDICTION

POLA: Online Time Series Prediction by Adaptive Learning Rates

17 Feb 2021

We propose POLA (Predicting Online by Learning rate Adaptation) to automatically regulate the learning rate of recurrent neural network models to adapt to changing time series patterns across time.

TIME SERIES TIME SERIES PREDICTION

Optimizing Hyperparameters in CNNs using Bilevel Programming in Time Series Data

19 Jan 2021

Hyperparameter optimization has remained a central topic within the machine learning community due to its ability to produce state-of-the-art results.

HYPERPARAMETER OPTIMIZATION TIME SERIES TIME SERIES PREDICTION

A General Framework for Hypercomplex-valued Extreme Learning Machines

15 Jan 2021

This paper aims to establish a framework for extreme learning machines (ELMs) on general hypercomplex algebras.

TIME SERIES TIME SERIES PREDICTION

Unveiling the role of plasticity rules in reservoir computing

14 Jan 2021

Reservoir Computing (RC) is an appealing approach in Machine Learning that combines the high computational capabilities of Recurrent Neural Networks with a fast and easy training method.

TIME SERIES TIME SERIES PREDICTION

Graph Edit Networks

ICLR 2021

With this result, we hope to provide a firm theoretical basis for a next generation of time series prediction models.

GRAPH GENERATION LINK PREDICTION TIME SERIES TIME SERIES PREDICTION

Different Approaches Towards Vertical Track Irregularity Prediction -- A Comparative Study

5 Dec 2020

Railway systems require regular manual maintenance, a large part of which is dedicated to track deformation inspection.

TIME SERIES TIME SERIES PREDICTION

Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction

26 Nov 2020

We propose a continuous neural network architecture, termed Explainable Tensorized Neural Ordinary Differential Equations (ETN-ODE), for multi-step time series prediction at arbitrary time points.

TIME SERIES TIME SERIES PREDICTION

Backpropagation-Free Learning Method for Correlated Fuzzy Neural Networks

25 Nov 2020

This learning approach does not require backpropagating the output error to learn the premise parts' parameters.

TIME SERIES TIME SERIES PREDICTION

Continuous Ant-Based Neural Topology Search

21 Nov 2020

This work introduces a novel, nature-inspired neural architecture search (NAS) algorithm based on ant colony optimization, Continuous Ant-based Neural Topology Search (CANTS), which utilizes synthetic ants that move over a continuous search space based on the density and distribution of pheromones, is strongly inspired by how ants move in the real world.

NEURAL ARCHITECTURE SEARCH TIME SERIES TIME SERIES PREDICTION