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» Probabilistic Neural Network Models for Sequential Data
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FUZZIEEE
2007
IEEE
15 years 9 months ago
Self-Fuzzification Method According to Typicality Correlation for Classification on Tiny Data Sets
— This article presents a self-fuzzification method to enhance the settings of a Fuzzy Reasoning Classification adapted to the automated inspection of wooden boards. The supervis...
Emmanuel Schmitt, Vincent Bombardier, Patrick Char...
IJCNN
2006
IEEE
15 years 8 months ago
Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method
— Neuronal morphology plays a crucial role in the information processing capabilities of neurons. Despite the importance of morphology for neural functionality, biological data i...
Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma
109
Voted
IJCNN
2007
IEEE
15 years 9 months ago
The Metro Visualisation of Component Planes for Self-Organising Maps
— The Self-Organising Map is a popular unsupervised neural network model which has successfully been used for clustering various kinds of data. To help in understanding the infl...
Robert Neumayer, Rudolf Mayer, Georg Pölzlbau...
134
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ICANN
2011
Springer
14 years 6 months ago
Semi-supervised Learning for WLAN Positioning
Currently the most accurate WLAN positioning systems are based on the fingerprinting approach, where a “radio map” is constructed by modeling how the signal strength measureme...
Teemu Pulkkinen, Teemu Roos, Petri Myllymäki
206
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OOIS
2001
Springer
15 years 7 months ago
Analysis of Software Engineering Data Using Computational Intelligence Techniques
The accurate estimation of software development effort has major implications for the management of software development in the industry. Underestimates lead to time pressures tha...
Gabriel Jarillo, Giancarlo Succi, Witold Pedrycz, ...