Who Cited It

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)

2005 · The MIT Press eBooks · 1,859 citations · 4 from inside this corpus

Carl Edward Rasmussen, Christopher K. I. Williams

No abstract in the source record.

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) (2005)Gaussian Processes for Machin…Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep Learning (2015)Dropout as a Bayesian Approxi…Reinforcement learning in robotics: A survey (2013)Reinforcement learning in rob…Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning (2015)Dropout as a Bayesian Approxi…On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation (2010)On Over-fitting in Model Sele…
4 of 4 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 cites it, inside the corpus

PaperYearCited
Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep Learning20154,187
Reinforcement learning in robotics: A survey20133,154
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning20152,672
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation20101,988

Links

OpenAlex record

Topics

Gaussian Processes and Bayesian InferenceComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports2 author record(s) attached.
  • weakensNo references are recorded despite 1,859 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:52+00:00.

sha256 930f5bc64fea8a60…