1063 search results - page 11 / 213 » Combining Simple Models to Approximate Complex Dynamics |
ANNPR
2008
Springer
13 years 9 months ago
2008
Springer
Most of what we know about multiple classifier systems is based on empirical findings, rather than theoretical results. Although there exist some theoretical results for simple and...
NIPS
1998
13 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
APN
2005
Springer
14 years 1 months ago
2005
Springer
Current modeling techniques are not well equipped to design dynamic software architectures. In this work we present the basic concepts for a dynamic architecture modeling using net...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
ICSE
2009
IEEE-ACM
13 years 5 months ago
2009
IEEE-ACM
The dynamic nature of Service-Oriented Architectures challenges traditional systems management practices which tend to be static in nature. We propose a goal-oriented, agent-based...