Everything about Comparison of Gaussian process software

🧭 Start here: a 6-step reading path

1. Read the overview: Comparison of Gaussian process softwareA 5-minute orientation
2. Pick up a classic book: Computer Engineering and TechnologyThe most-reprinted book on the subject
3. Read the landmark paper: Comparison of Gaussian process modeling softwareCited 83 times
4. Go sideways: Kernel methodA closely related topic
5. Go sideways: Gaussian processA closely related topic

🏆 Landmark papers (most cited)

• Comparison of Gaussian process modeling software

  Collin B. Erickson, Bruce E. Ankenman, Susan M. Sanchez · 2018 · European Journal of Operational Research · 83 citations

📚 Books worth reading

• Computer Engineering and TechnologyWeixia Xu · 2013
• Emerging Technologies for Information Systems, Computing, and ManagementW. Eric Wong · 2013
• 2-D page map analysisEmilio Marengo, Elisa Robotti · 2016
• AI 2012: Advances in Artificial IntelligenceMichael Thielscher · 2012
• 📕Model choice and model aggregationFrédéric Bertrand, Jean-Jacques Droesbeke · 2017

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

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• Principal component analysis Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data…
• Mlpack mlpack is a free, open-source and header-only software library for machine learning and artificial intelligence written in C++, built on top of the Armadillo…