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» Learning the required number of agents for complex tasks
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AAI
2006
103views more  AAI 2006»
13 years 8 months ago
A generic time management service for distributed multi-agent systems
Multi-agent systems are well suited for building large software systems. A great deal of these complex systems includes process flows that are concerned with time or are even time...
Lars Braubach, Alexander Pokahr, Winfried Lamersdo...
CVPR
2008
IEEE
14 years 10 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona
AAAI
2010
13 years 4 months ago
A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra
Some real-world problems are partially decomposable, in that they can be decomposed into a set of coupled subproblems, that are each relatively easy to solve. However, when these ...
Siamak (Moshen) Ravanbakhsh, Barnabás P&oac...
ICANN
2009
Springer
14 years 2 months ago
Almost Random Projection Machine
Backpropagation of errors is not only hard to justify from biological perspective but also it fails to solve problems requiring complex logic. A simpler algorithm based on generati...
Wlodzislaw Duch, Tomasz Maszczyk
ESAW
2009
Springer
14 years 2 months ago
Peer-to-Peer Overlay Network Based on Swarm Intelligence
As the number of information in the Internet constantly increases and the complexity of systems rapidly grows, locating and manipulating complex data has become a difficult task. W...
Vesna Sesum-Cavic, eva Kühn