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» Principles of dataspace systems
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ENDM
2000
174views more  ENDM 2000»
15 years 4 months ago
Hybrid Constraints in Automated Model Synthesis and Model Processing
Both parametric design tasks and analysis tasks of technical systems have a similar problem setting: The structure of the system to be configured or analyzed is defined already. W...
Klaus-Ulrich Leweling, Benno Stein
159
Voted
IS
1998
15 years 4 months ago
Information Modeling in the Time of the Revolution
Information modeling is concerned with the construction of computer-based symbol structures which capture the meaning of information and organize it in ways that make it understan...
John Mylopoulos
NECO
1998
168views more  NECO 1998»
15 years 4 months ago
Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
Stefan Schaal, Christopher G. Atkeson
118
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NN
2002
Springer
122views Neural Networks» more  NN 2002»
15 years 4 months ago
Cellular, synaptic and network effects of neuromodulation
All network dynamics emerge from the complex interaction between the intrinsic membrane properties of network neurons and their synaptic connections. Nervous systems contain numer...
Eve Marder, Vatsala Thirumalai
IGPL
2010
97views more  IGPL 2010»
15 years 3 months ago
A symbolic/subsymbolic interface protocol for cognitive modeling
Researchers studying complex cognition have grown increasingly interested in mapping symbolic cognitive architectures onto subsymbolic brain models. Such a mapping seems essential...
Patrick Simen, Thad A. Polk