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IWANN
2005
Springer
15 years 3 months ago
Co-evolutionary Learning in Liquid Architectures
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...
SIGCSE
2002
ACM
201views Education» more  SIGCSE 2002»
14 years 9 months ago
A microprocessor survey course for learning advanced computer architecture
A course that surveys state-of-the-art microprocessors offers an excellent forum for students to see how computer architecture techniques are employed in practice and for them to ...
Kevin Skadron
NIPS
1989
14 years 11 months ago
The Cascade-Correlation Learning Architecture
Cascade-Correlation is a new architecture and supervised learning algorithm for artificial neural networks. Instead of just adjusting the weights in a network of fixed topology,...
Scott E. Fahlman, Christian Lebiere
CCR
2010
156views more  CCR 2010»
14 years 10 months ago
Evolvable network architectures: what can we learn from biology?
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
Constantine Dovrolis, J. Todd Streelman
HICSS
2003
IEEE
148views Biometrics» more  HICSS 2003»
15 years 3 months ago
Managing Multimedia Traffic in IP Integrated over Differentiated Services: SIP dynamic signaling inter-working
The current IETF standardization work has highlighted the feasibility of providing the users with a QoS network architecture in the framework of Integrated Services over Different...
Stefano Giordano, M. Mancino, A. Martucci, Saverio...