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ICML
2005
IEEE
16 years 8 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
WS
2005
ACM
16 years 1 months ago
A framework for MAC protocol misbehavior detection in wireless networks
The pervasiveness of wireless devices and the architectural organization of wireless networks in distributed communities, where no notion of trust can be assumed, are the main rea...
Svetlana Radosavac, John S. Baras, Iordanis Koutso...
ESSMAC
2003
Springer
16 years 27 days ago
Analysis of Some Methods for Reduced Rank Gaussian Process Regression
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
Joaquin Quiñonero Candela, Carl Edward Rasm...
ML
2008
ACM
15 years 7 months ago
A linear fit gets the correct monotonicity directions
Let f be a function on Rd that is monotonic in every variable. There are 2d possible assignments to the directions of monotonicity (two per variable). We provide sufficient condit...
Malik Magdon-Ismail, Joseph Sill
CASES
2007
ACM
15 years 11 months ago
Rethinking custom ISE identification: a new processor-agnostic method
The last decade has witnessed the emergence of the Application Specific Instruction-set Processor (ASIP) as a viable platform for embedded systems. Extensible ASIPs allow the user...
Ajay K. Verma, Philip Brisk, Paolo Ienne
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