Who Cited It

Machine learning a probabilistic perspective

2012 · 9,324 citations · 15 from inside this corpus

Kevin P. Murphy

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Machine learning a probabilistic perspective (2012)Machine learning a probabilis…Machine learning: Trends, perspectives, and prospects (2015)Machine learning: Trends, per…The Limitations of Deep Learning in Adversarial Settings (2016)The Limitations of Deep Learn…Deep learning for healthcare: review, opportunities and challenges (2017)Deep learning for healthcare:…Understanding Machine Learning: From Theory To Algorithms (2015)Understanding Machine Learnin…Privacy-Preserving Deep Learning (2015)Privacy-Preserving Deep Learn…A Roadmap of Agent Research and Development (1998)A Roadmap of Agent Research a…Probabilistic machine learning and artificial intelligence (2015)Probabilistic machine learnin…Quantum Support Vector Machine for Big Data Classification (2014)Quantum Support Vector Machin…Deep Learning: Methods and Applications (2014)Deep Learning: Methods and Ap…Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health R… (2017)Deep EHR: A Survey of Recent …A Review of Relational Machine Learning for Knowledge Graphs (2015)A Review of Relational Machin…Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference A… (2019)Comprehensive Privacy Analysi…Stochastic variational inference (2013)Stochastic variational infere…Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria… (2016)Transferability in Machine Le…Quantum principal component analysis (2014)Quantum principal component a…
15 of 15 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
Machine learning: Trends, perspectives, and prospects20159,947
The Limitations of Deep Learning in Adversarial Settings20163,980
Deep learning for healthcare: review, opportunities and challenges20173,115
Understanding Machine Learning: From Theory To Algorithms20153,081
Privacy-Preserving Deep Learning20152,325
A Roadmap of Agent Research and Development19982,099
Probabilistic machine learning and artificial intelligence20152,031
Quantum Support Vector Machine for Big Data Classification20142,010
Deep Learning: Methods and Applications20141,801
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health R…20171,693
A Review of Relational Machine Learning for Knowledge Graphs20151,681
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference A…20191,624
Stochastic variational inference20131,480
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria…20161,416
Quantum principal component analysis20141,414

Links

OpenAlex record

Topics

Computational Physics and Python ApplicationsComputer Science
Multidisciplinary Science and Engineering ResearchDecision Sciences

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.

  • supports1 author record(s) attached.
  • weakensNo references are recorded despite 9,324 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 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…