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» Learning Models of Macrobehavior in Complex Adaptive Systems
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PRL
2011
14 years 10 months ago
Efficient approximate Regularized Least Squares by Toeplitz matrix
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
140
Voted
MMM
2010
Springer
141views Multimedia» more  MMM 2010»
15 years 5 months ago
Slow Intelligence Systems
: Networks and distributed computing systems are becoming increasingly important and at the same time, more and more critical to the world of Information Technology. This rash spre...
Shi-Kuo Chang
120
Voted
KES
1998
Springer
15 years 7 months ago
Hidden partitioning of a visual feedback-based neuro-controller
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
Jean-Philippe Urban, Jean-Luc Buessler, Julien Gre...
115
Voted
COMPLEX
2009
Springer
15 years 10 months ago
Designing Capital-Intensive Systems with Architectural and Operational Flexibility Using a Screening Model
: Development of capital intensive systems, such as offshore oil platforms or other industrial infrastructure, generally requires a significant amount of capital investment under v...
Jijun Lin, Olivier de Weck, Richard de Neufville, ...
168
Voted
ANTSW
2010
Springer
15 years 1 months ago
Functional Blueprints: An Approach to Modularity in Grown Systems
Abstract. The engineering of grown systems poses fundamentally different system integration challenges than ordinary engineering of static designs. On the one hand, a grown system ...
Jacob Beal