Time Series Forecasting
MachineLearningTask AIO:TimeSeriesForecasting NOT_REVIEWED
A machine learning task focused on methods that predict future values based on previously observed values.
Ontology IRI:
https://w3id.org/aio/TimeSeriesForecasting
Ontology Structure & Relationships
Parent Classes
Branches
Annotations & Sources
Definition Sources:
Subsets:
https://w3id.org/aio/MachineLearningSubset
Curated AIMech Concepts Grounded to this Class
4 Concepts| Curated Concept | Kind | Mapping Relation | Rationale |
|---|---|---|---|
Gaussian-process moment matching for Gaussian inputs
AIMech:GaussianProcessGaussianInputMomentMatching |
Algorithms | related_match | The primary method is developed and evaluated as a component of iterative multiple-step time-series forecasting. This explicit application relationship does not identify all forecasting with the moment-matching procedure or turn the algorithm into a task. |
Taylor approximation for uncertain-input Gaussian-process prediction
AIMech:GaussianProcessTaylorUncertainInputPrediction |
Algorithms | related_match | The primary report explicitly develops the Taylor construction for iterative multiple-step time-series prediction with lag covariance. This is an application relationship, not a claim that the forecasting task is a superclass-equivalent algorithm. |
Sparse-spectrum Gaussian-process exact moment matching
AIMech:SparseSpectrumGaussianProcessExactMomentMatching |
Algorithms | related_match | The primary source repeatedly applies the transform to predict future dynamical states in filtering and model predictive control. This is a demonstrated forecasting application, not a restriction of the generic prediction algorithm to time series. |
Sparse-spectrum Gaussian-process linearized uncertain-input prediction
AIMech:SparseSpectrumGaussianProcessLinearizedPrediction |
Algorithms | related_match | The primary source repeatedly applies the transform to predict future dynamical states in filtering and model predictive control. This is a demonstrated forecasting application, not a restriction of the generic prediction algorithm to time series. |
Import Provenance & Upstream Synchronization
Source Repo: AIO GitHub
Release Version:
aio.jsonCommit:
397851c547…License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256:
8f741d71408c…
Source File:
data/aio/TimeSeriesForecasting.yaml