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» A theoretical framework for multiple neural network systems
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INFOCOM
2010
IEEE
13 years 7 months ago
Exploiting Multiple-Antenna Diversity for Shared Secret Key Generation in Wireless Networks
—Generating a secret key between two parties by extracting the shared randomness in the wireless fading channel is an emerging area of research. Previous works focus mainly on si...
Kai Zeng, Daniel Wu, An Chan, Prasant Mohapatra
HICSS
2000
IEEE
125views Biometrics» more  HICSS 2000»
14 years 1 months ago
Beyond Bounded Activity Systems: Heterogeneous Cultures in Instructional Uses of Persistent Conversation
This paper proposes a two-level theoretical framework for the study of CMC illustrating the principles of mediation and contextual analysis. Based on log files and interviews from...
Steven L. Thorne
APSEC
2005
IEEE
14 years 2 months ago
Ontology-based Active Requirements Engineering Framework
Software-intensive systems are systems of systems that rely on complex interdependencies among themselves as well as with their operational environment to satisfy the required beh...
Seok Won Lee, Robin A. Gandhi
FLAIRS
2007
13 years 11 months ago
Context-Sensitive MTL Networks for Machine Lifelong Learning
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
Daniel L. Silver, Ryan Poirier
IJCNN
2006
IEEE
14 years 2 months ago
An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization
— The optimization of classification systems is often confronted by the solution over-fit problem. Solution over-fit occurs when the optimized classifier memorizes the traini...
Paulo Vinicius Wolski Radtke, Tony Wong, Robert Sa...