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UAI
2004
13 years 9 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
ICONIP
1998
13 years 9 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
KES
2006
Springer
13 years 7 months ago
The Performance of LVQ Based Automatic Relevance Determination Applied to Spontaneous Biosignals
The issue of Automatic Relevance Determination (ARD) has attracted attention over the last decade for the sake of efficiency and accuracy of classifiers, and also to extract knowle...
Martin Golz, David Sommer
COMCOM
2000
125views more  COMCOM 2000»
13 years 7 months ago
On object initialization in the Java bytecode
Java is an ideal platform for implementing mobile code systems, not only because of its portability but also because it is designed with security in mind. Untrusted Java programs ...
Stephane Doyon, Mourad Debbabi
GW
2009
Springer
156views Biometrics» more  GW 2009»
13 years 5 months ago
Influence of Handshape Information on Automatic Sign Language Recognition
Research on automatic sign language recognition (ASLR) has mostly been conducted from a machine learning perspective. We propose to implement results from human sign recognition st...
Gineke A. ten Holt, Marcel J. T. Reinders, Emile A...