3250 search results - page 208 / 650 » Parameterized Learning Complexity |
205
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KDD
2010
ACM
15 years 10 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
159
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ESANN
2008
15 years 8 months ago
2008
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
231
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AAMAS
2005
Springer
15 years 6 months ago
2005
Springer
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
201
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Source Code
A library for developing portable applications that deal with networking, threads (message passing, futures, etc...), graphical interfaces, complex data structures, linear algebra,...
161
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IJCNN
2006
IEEE
16 years 17 days ago
2006
IEEE
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...