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» Learning the Structure of Dynamic Probabilistic Networks
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FLAIRS
2001
13 years 9 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...
IJON
2006
123views more  IJON 2006»
13 years 7 months ago
Attractor neural networks with patchy connectivity
The neurons in the mammalian visual cortex are arranged in columnar structures, and the synaptic contacts of the pyramidal neurons in layer II/III are clustered into patches that ...
Christopher Johansson, Martin Rehn, Anders Lansner
UC
2009
Springer
14 years 2 months ago
Brain Dynamics Promotes Function
Abstract. Dynamical structure in the brain promotes biological function. Natural scientists look for correlations between measured electrical signals and behavior or mental states....
Carlos Lourenço
DEBU
2006
163views more  DEBU 2006»
13 years 7 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
14 years 7 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray