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IWANN
2005
Springer
15 years 8 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»
15 years 2 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
15 years 4 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»
15 years 3 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 8 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...