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» Evolving Complex Neural Networks
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137
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NIPS
1993
15 years 5 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson
128
Voted
ATAL
2010
Springer
15 years 4 months ago
How important are updating schemes in multi-agent systems? An illustration on a multi-turmite model
It is to date an open question to know how the updating methods affect the evolution of a multi-agent system. This question has been tackled for various complex systems such as ce...
Nazim Fatès, Vincent Chevrier
INFOCOM
1993
IEEE
15 years 8 months ago
Experimental Evaluation of SunOS IPC and TCP/IP Protocol Implementation
Progress in the field of high speed networking and distributed applications has led to a debate in the research community on the suitability of existing protocols such as TCP/IP ...
Christos Papadopoulos, Guru M. Parulkar
135
Voted
ICSE
2001
IEEE-ACM
15 years 8 months ago
A Web-Oriented Architectural Aspect for the Emerging Computational Tapestry
An emerging tapestry of computations will soon integrate systems around the globe. It will evolve without central control. Its complexity will be vast. We need new ideas, tools an...
Kevin J. Sullivan, Avneesh Saxena
128
Voted
ISCAS
2006
IEEE
144views Hardware» more  ISCAS 2006»
15 years 9 months ago
A VLSI spike-driven dynamic synapse which learns only when necessary
— We describe an analog VLSI circuit implementing spike-driven synaptic plasticity, embedded in a network of integrate-and-fire neurons. This biologically inspired synapse is hi...
S. Mitra, Stefano Fusi, Giacomo Indiveri