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JMLR
2006
136views more  JMLR 2006»
13 years 8 months ago
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
Tonatiuh Peña Centeno, Neil D. Lawrence
JUCS
2006
103views more  JUCS 2006»
13 years 8 months ago
An Object Model for Interoperable Systems
Abstract: Most modern computer applications should run on heterogeneous platforms and, moreover, objects and respective code should be easily interchangeable between distinct platf...
Alcides Calsavara, Aaron Borges, Leonardo Nunes, D...
NECO
2008
108views more  NECO 2008»
13 years 8 months ago
Optimal Approximation of Signal Priors
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
Aapo Hyvärinen
GRID
2007
Springer
13 years 8 months ago
The Requirements of Using Provenance in e-Science Experiments
In e-Science experiments, it is vital to record the experimental process for later use such as in interpreting results, verifying that the correct process took place or tracing whe...
Simon Miles, Paul T. Groth, Miguel Branco, Luc Mor...
TSP
2008
88views more  TSP 2008»
13 years 8 months ago
Statistical Performance of MUSIC-Like Algorithms in Resolving Noncircular Sources
Abstract--This paper addresses the resolution of the conventional and noncircular MUSIC algorithms for arbitrary circular and noncircular second-order distributions of two uncorrel...
Habti Abeida, Jean Pierre Delmas