Gaussian Processes in Machine Learning

2004 · Lecture notes in computer science · 5,173 citations · 4 from inside this corpus

No abstract in the source record.

5 of 5 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

Paper	Year	Cited
Learning in Graphical Models	1998	2,437

What cites it, inside the corpus

Paper	Year	Cited
IEEE Transactions on Pattern Analysis and Machine Intelligence	2004	3,736
A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions	2018	1,743
AutoML: A survey of the state-of-the-art	2020	1,705
Reconciling modern machine-learning practice and the classical bias–variance trade-off	2019	1,561

Links

DOI · OpenAlex record

Topics

Gaussian Processes and Bayesian Inference	Computer Science
Advanced Multi-Objective Optimization Algorithms	Computer Science
Control Systems and Identification	Engineering

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports1 author record(s) attached.
supports4 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…