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CCIA
2005
Springer
15 years 8 months ago
Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks
Abstract. This paper presents a new feature selection method and an outliers detection algorithm. The presented method is based on using a genetic algorithm combined with a problem...
Agusti Solanas, Enrique Romero, Sergio Góme...
ICAIL
2007
ACM
15 years 8 months ago
P2P systems in legal networks: another "small world" case
The “small world”-paradigm offers a new interesting viewpoint for the analysis of contemporary legal networks and artificial intelligence. This topological approach sheds fu...
Ugo Pagallo, Giancarlo Ruffo
DMIN
2006
221views Data Mining» more  DMIN 2006»
15 years 8 months ago
Color Image Segmentation Using Pulse-Coupled Neural Network for Locusts Detection
- Pulse-coupled neural network (PCNN) is different from traditional artificial neural networks, which can be applied in many fields, such as image processing. A crucial step in dev...
Xuemei Xiong, Yiming Wang, Xiaochao Zhang
DAGSTUHL
2003
15 years 8 months ago
Removing Some 'A' from AI: Embodied Cultured Networks
We embodied networks of cultured biological neurons in simulation and in robotics. This is a new research paradigm to study learning, memory, and information processing in real tim...
Douglas J. Bakkum, Alexander C. Shkolnik, Guy Ben-...
AIPS
1994
15 years 8 months ago
Managing Dynamic Temporal Constraint Networks
This paper concerns the specialization of arcconsistency algorithms for constraint satisfaction in the management of quantitative temporal constraint networks. Attention is devote...
Roberto Cervoni, Amedeo Cesta, Angelo Oddi