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» Managing Complexity in Large Learning Robotic Systems
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TNN
2010
176views Management» more  TNN 2010»
13 years 2 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
ECAL
2005
Springer
14 years 1 months ago
A Dynamical Systems Approach to Learning: A Frequency-Adaptive Hopper Robot
We present an example of the dynamical systems approach to learning and adaptation. Our goal is to explore how both control and learning can be embedded into a single dynamical sys...
Jonas Buchli, Ludovic Righetti, Auke Jan Ijspeert
CIKM
2004
Springer
14 years 1 months ago
RStar: an RDF storage and query system for enterprise resource management
Modern corporations operate in an extremely complex environment and strongly depend on all kinds of information resources across the enterprise. Unfortunately, with the growth of ...
Li Ma, Zhong Su, Yue Pan, Li Zhang, Tao Liu
WWW
2004
ACM
14 years 8 months ago
Towards the composition of Ad Hoc B2B Applications: Semantics, Properties and Complexity Management
The goal is to build a general framework for ad hoc applications over large networks using semantics and complex systems analysis. The first part deals with semantics because appl...
Jaime Delgado, Rosa Gil, Zièd Choukair
ENVSOFT
2007
166views more  ENVSOFT 2007»
13 years 7 months ago
The implications of complexity for integrated resources management
: Integrated environmental resources management is a purposeful activity with the goal to maintain and improve the state of an environmental resource affected by human activities. ...
C. Pahl-Wostl