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SIBGRAPI
2008
IEEE
15 years 9 months ago
Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
Damian E. Oliva, Roberto A. Isoardi, Germán...
132
Voted
IJCNN
2006
IEEE
15 years 9 months ago
Effective Training Methods for Function Localization Neural Networks
— Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kot...
ISCAS
2006
IEEE
107views Hardware» more  ISCAS 2006»
15 years 9 months ago
Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures
—Probability Density Function (PDF) estimation is a very critical task in many applications of data analysis. For example in the Bayesian framework decisions are taken according ...
Cédric Archambeau, M. Valle, A. Assenza, Mi...
ATAL
2004
Springer
15 years 9 months ago
Using the Experimental Method to Produce Reliable Self-Organised Systems
The ‘engineering’ and ‘adaptive’ approaches to system production are distinguished. It is argued that producing reliable self-organised software systems (SOSS) will necessa...
Bruce Edmonds
169
Voted
KES
2004
Springer
15 years 8 months ago
An Efficient Fuzzy Method for Handwritten Character Recognition
The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten objects in a short period of time. Du...
Romesh Ranawana, Vasile Palade, G. E. M. D. C. Ban...