724 search results - page 3 / 145 » Some Structural Complexity Aspects of Neural Computation |
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
SOFTCO
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
VIS
2007
IEEE
14 years 7 months ago
2007
IEEE
Abstract--The recently introduced notion of Finite-Time Lyapunov Exponent to characterize Coherent Lagrangian Structures provides a powerful framework for the visualization and ana...
ANOR
2010
13 years 4 months ago
2010
Operations Research is probably one of the most successful fields of applied mathematics used in Economics, Physics, Chemistry, almost everywhere onehastoanalyzehugeamountsofdata.L...
CIARP
2007
Springer
14 years 10 days ago
2007
Springer
Abstract. It is argued that the ability to generalise is the most important characteristic of learning and that generalisation may be achieved only if pattern recognition systems l...