Sign in
Author

Conference

Journal

Organization

Year

DOI
Look for results that meet for the following criteria:
since
equal to
before
between
and
Search in all fields of study
Limit my searches in the following fields of study
Agriculture Science
Arts & Humanities
Biology
Chemistry
Computer Science
Economics & Business
Engineering
Environmental Sciences
Geosciences
Material Science
Mathematics
Medicine
Physics
Social Science
Multidisciplinary
Keywords
(3)
Kernel Function
Relevance Vector Machine
Support Vector Machine
Related Publications
(37)
Sparse Bayesian Learning and the Relevance Vector Machine
Statistical Learning Theory
Bayesian learning for neural networks
Bayesian Interpolation
Efficient pattern recognition using a new transformation distance
Subscribe
Academic
Publications
The Relevance Vector Machine
The Relevance Vector Machine,Michael E. Tipping
Edit
The Relevance Vector Machine
(
Citations: 302
)
BibTex

RIS

RefWorks
Download
Michael E. Tipping
Conference:
Neural Information Processing Systems  NIPS
, pp. 652658, 1999
Cumulative
Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
(
www.informatik.unitrier.de
)
(
nips.djvuzone.org
)
Citation Context
(200)
...RVM is a statistical learning algorithm developed by Tipping (
2000
) that uses Bayesian inference to obtain parsimonious solutions for classification and regression problems compared to LSSVM...
Pijush Samui
,
et al.
Statistical learning algorithms for identifying contrasting tillage pr...
...In order to overcome the deficiencies of ANN and LSSVM, an advanced function estimation technique, i.e., relevance vector machine (RVM), has been recently proposed in [
31
] and [32]...
...In this section, the RVM technique [
31
] is employed to establish a regression model of the piezostage system to predict the position output...
PakKin Wong
,
et al.
RateDependent Hysteresis Modeling and Control of a Piezostage Using O...
...Using the Relevance Vector Machine (RVM) [
Tipping, 2000
], a supervised machine learning tool that operates in a Bayesian framework, the spectral ratio is modeled based on ground motion records and a set of predictive variables, without reference to a parametric form...
Jale Tezcan
,
et al.
A Probabilistic Nonparametric Model for the VerticaltoHorizontal Spe...
...Towards this end, an efficient solver exploiting a fast relevance vector machine algorithm [32], [
36
] is adopted...
...2 A full treatment of in terms of convergence theory, performances in benchmark and illustrative problems and relations with other classification and regression techniques can be found in [33]‐[
36
]...
Giacomo Oliveri
,
et al.
Bayesian Compressive Sampling for Pattern Synthesis With Maximally Spa...
...Each hypothesis is subsequently verified by performing action category classification with a Relevance Vector Machine (RVM) [
35
]...
Antonios Oikonomopoulos
,
et al.
Spatiotemporal Localization and Categorization of Human Actions in Uns...
References
(6)
Statistical Learning Theory
(
Citations: 9935
)
Vladimir Vapnik
Published in 1998.
Statistical Decision Theory and Bayesian Analysis, 2nd Edition
(
Citations: 564
)
James O. Berger
Published in 1985.
The Evidence Framework Applied to Classification Networks
(
Citations: 287
)
David J. C. Mackay
Journal:
Neural Computation  NECO
, vol. 4, no. 5, pp. 720736, 1992
Input space versus feature space in kernelbased methods
(
Citations: 486
)
Bernhard Schölkopf
,
Sebastian Mika
,
Christopher J. C. Burges
,
Phil Knirsch
,
Klausrobert Müller
,
Gunnar Rätsch
,
Alexander J. Smola
Journal:
IEEE Transactions on Neural Networks
, vol. 10, no. 5, pp. 10001017, 1999
Bayesian learning for neural networks
(
Citations: 780
)
R. M. Neal
Published in 1996.
Sort by:
Citations
(302)
Statistical learning algorithms for identifying contrasting tillage practices with Landsat Thematic Mapper data
Pijush Samui
,
Prasanna H. Gowda
,
Thomas Oommen
,
Terry A. Howell
,
Thomas H. Marek
,
Dana O. Porter
Journal:
International Journal of Remote Sensing  INT J REMOTE SENS
, vol. 33, no. 18, pp. 57325745, 2012
RateDependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine
PakKin Wong
,
Qingsong Xu
,
ChiMan Vong
,
HangCheong Wong
Journal:
IEEE Transactions on Industrial Electronics  IEEE TRANS IND ELECTRON
, vol. 59, no. 4, pp. 19882001, 2012
A Probabilistic Nonparametric Model for the VerticaltoHorizontal Spectral Ratio
Jale Tezcan
,
Alex Piolatto
Journal:
Journal of Earthquake Engineering  J EARTHQU ENG
, vol. 16, no. 1, pp. 142157, 2012
Bayesian Compressive Sampling for Pattern Synthesis With Maximally Sparse NonUniform Linear Arrays
(
Citations: 6
)
Giacomo Oliveri
,
Andrea Massa
Journal:
IEEE Transactions on Antennas and Propagation  IEEE TRANS ANTENNAS PROPAGAT
, vol. 59, no. 2, pp. 467481, 2011
Spatiotemporal Localization and Categorization of Human Actions in Unsegmented Image Sequences
(
Citations: 1
)
Antonios Oikonomopoulos
,
Ioannis Patras
,
Maja Pantic
Journal:
IEEE Transactions on Image Processing
, vol. 20, no. 4, pp. 11261140, 2011