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» Evolving Complex Neural Networks
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IJCNN
2008
IEEE
15 years 4 months ago
Dataset complexity can help to generate accurate ensembles of k-nearest neighbors
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...
Oleg Okun, Giorgio Valentini
KBSE
1999
IEEE
15 years 2 months ago
Towards Adaptive Web Agents
There is an increasingly large demand for software systems which are able to operate effectively in dynamic environments. In such environments, automated software engineering is e...
J. William Murdock, Ashok K. Goel
107
Voted
ICECCS
2010
IEEE
162views Hardware» more  ICECCS 2010»
14 years 10 months ago
Trust-Based Adaptation in Complex Service-Oriented Systems
Abstract—Complex networks consisting of humans and software services, such as Web-based social and collaborative environments, typically require flexible and context-based inter...
Florian Skopik, Daniel Schall, Schahram Dustdar
ALIFE
2004
14 years 10 months ago
Adaptability and Diversity in Simulated Turn-taking Behavior
Turn-taking behavior is simulated in a coupled-agents system. Each agent is modeled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outpu...
Hiroyuki Iizuka, Takashi Ikegami
AMT
2006
Springer
107views Multimedia» more  AMT 2006»
15 years 1 months ago
An Intelligent Process Monitoring System in Complex Manufacturing Environment
In high-tech industries, most manufacturing processes are complexly intertwined, in that manufacturers or engineers can hardly control a whole set of processes. They are only capa...
Sung Ho Ha, Boo-Sik Kang