@inbook{e784278779364587a76472c0f7a95a6f,
title = "Kernels for the Relevance Vector Machine - An empirical study",
abstract = "The Relevance Vector Machine (RVM) is a generalized linear model that can use kernel functions as basis functions. Experiments with the Mat{\'e}rn kernel indicate that the kernel choice has a significant impact on the sparsity of the solution. Furthermore, not every kernel is suitable for the RVM. Our experiments indicate that the Mat{\'e}rn kernel of order 3 is a good initial choice for many types of data.",
keywords = "Kernel Regression, Machine learning, Relevance vector machine, mat{\'e}rn kernel",
author = "David Ben-Shimon and Armin Shmilovici",
year = "2006",
month = sep,
day = "27",
doi = "10.1007/3-540-33880-2\_26",
language = "English",
isbn = "3540338799",
series = "Studies in Computational Intelligence",
pages = "253--263",
editor = "Mark Last and Piotr Szczepaniak and Piotr Szczepaniak and Zeev Vlvolkov and Abraham Kandel",
booktitle = "Advances in Web Intelligence and Data Mining",
}