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143
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INFFUS
2010
156views more  INFFUS 2010»
14 years 11 months ago
Cumulative and averaging fusion of beliefs
The problem of fusing beliefs in the Dempster-Shafer belief theory has attracted considerable attention over the last two decades. The classical Dempster's Rule has often bee...
Audun Jøsang, Javier Diaz, Maria Rifqi
160
Voted
TSP
2010
14 years 11 months ago
Algorithms for Complex ML ICA and Their Stability Analysis Using Wirtinger Calculus
Abstract--We derive a class of algorithms for independent component analysis (ICA) based on maximum likelihood (ML) estimation and perform stability analysis of natural gradient ML...
Hualiang Li, Tülay Adali
138
Voted
IJAR
2008
161views more  IJAR 2008»
15 years 4 months ago
Bayesian learning for a class of priors with prescribed marginals
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
Hermann Held, Thomas Augustin, Elmar Kriegler
175
Voted
NECO
2007
258views more  NECO 2007»
15 years 4 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian
167
Voted
MODELS
2009
Springer
15 years 9 months ago
On-the-Fly Construction, Correctness and Completeness of Model Transformations Based on Triple Graph Grammars
Triple graph grammars (TGGs) are a formal and intuitive concept for the specification of model transformations. Their main advantage is an automatic derivation of operational rule...
Hartmut Ehrig, Claudia Ermel, Frank Hermann, Ulrik...