1396 search results - page 37 / 280 » Composing Adaptive Learning Systems |
MIDDLEWARE
2004
Springer
14 years 1 months ago
2004
Springer
Software frequently needs to adapt its behavior at run time to respond to changes in its execution environment. Different software components may use different approaches to adap...
CVPR
1997
IEEE
14 years 9 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
AHS
2007
IEEE
14 years 2 months ago
2007
IEEE
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...