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Time Series Prediction

12 papers with code ยท Time Series

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Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving

23 Aug 2019

The framework can incorporate an arbitrary prediction model as the implicit proposal distribution of the CMSMC method.

AUTONOMOUS DRIVING DECISION MAKING MOTION PLANNING TIME SERIES TIME SERIES PREDICTION

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks

17 Aug 2019

The proposed RBF architecture is explored for the prediction of Mackey-Glass time series and results are compared with the standard RBF.

TIME SERIES TIME SERIES PREDICTION

An alarm prediction framework for financial IT system using hybrid machine learning methods

30 Jul 2019

Informatization grows rapidly in all walks of life, going with the enhancement of dependence on IT systems.

TIME SERIES TIME SERIES PREDICTION

Meta-descent for Online, Continual Prediction

17 Jul 2019

This paper investigates different vector step-size adaptation approaches for non-stationary online, continual prediction problems.

TIME SERIES TIME SERIES PREDICTION

An Artificial Spiking Quantum Neuron

14 Jul 2019

Artificial spiking neural networks have found applications in areas where the temporal nature of activation offers an advantage, such as time series prediction and signal processing.

TIME SERIES TIME SERIES PREDICTION

The Use of Gaussian Processes in System Identification

13 Jul 2019

Gaussian process state-space models (GPSS) can be used to learn the dynamic and measurement models for a state-space representation of the input-output data.

TIME SERIES TIME SERIES PREDICTION

Takens-inspired neuromorphic processor: a downsizing tool for random recurrent neural networks via feature extraction

6 Jul 2019

We describe a new technique which minimizes the amount of neurons in the hidden layer of a random recurrent neural network (rRNN) for time series prediction.

TIME SERIES TIME SERIES PREDICTION

Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA

3 Jun 2019

In this paper, we study the problem of network traffic traffic prediction and classification by employing standard machine learning and statistical learning time series prediction methods, including long short-term memory (LSTM) and autoregressive integrated moving average (ARIMA), respectively.

TIME SERIES TIME SERIES PREDICTION TRAFFIC PREDICTION

Patch Learning

1 Jun 2019

There have been different strategies to improve the performance of a machine learning model, e. g., increasing the depth, width, and/or nonlinearity of the model, and using ensemble learning to aggregate multiple base/weak learners in parallel or in series.

TIME SERIES TIME SERIES PREDICTION