Understanding Gaussian Process Regression Using the Equivalent Kernel

Peter Sollich, Christopher K. I. Williams. Understanding Gaussian Process Regression Using the Equivalent Kernel. In Joab Winkler, Mahesan Niranjan, Neil D. Lawrence, editors, Deterministic and Statistical Methods in Machine Learning, First International Workshop, Sheffield, UK, September 7-10, 2004, Revised Lectures. Volume 3635 of Lecture Notes in Computer Science, pages 211-228, Springer, 2004. [doi]

@inproceedings{SollichW04:0,
  title = {Understanding Gaussian Process Regression Using the Equivalent Kernel},
  author = {Peter Sollich and Christopher K. I. Williams},
  year = {2004},
  doi = {10.1007/11559887_13},
  url = {http://dx.doi.org/10.1007/11559887_13},
  researchr = {https://researchr.org/publication/SollichW04%3A0},
  cites = {0},
  citedby = {0},
  pages = {211-228},
  booktitle = {Deterministic and Statistical Methods in Machine Learning, First International Workshop, Sheffield, UK, September 7-10, 2004, Revised Lectures},
  editor = {Joab Winkler and Mahesan Niranjan and Neil D. Lawrence},
  volume = {3635},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-29073-7},
}