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» Network Engineering for Complex Belief Networks
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ICML
2009
IEEE
16 years 4 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
ATAL
2006
Springer
15 years 7 months ago
Hierarchical planning in BDI agent programming languages: a formal approach
This paper provides a general mechanism and a solid theoretical basis for performing planning within Belief-Desire-Intention (BDI) agents. BDI agent systems have emerged as one of...
Sebastian Sardiña, Lavindra de Silva, Lin P...
JSAC
2008
98views more  JSAC 2008»
15 years 3 months ago
Multiuser Detection of Sparsely Spread CDMA
Code-division multiple access (CDMA) is the basis of a family of advanced air interfaces in current and future generation networks. The benefits promised by CDMA have not been full...
Dongning Guo, Chih-Chun Wang
AUTONOMICS
2008
ACM
15 years 5 months ago
Verification and semantic parallelization of goal-driven autonomous software
Future space missions such as the Mars Science Laboratory demand the engineering of some of the most complex manrated autonomous software systems. According to some recent estimat...
Damian Dechev, Nicolas Rouquette, Peter Pirkelbaue...
HAIS
2009
Springer
15 years 8 months ago
Pareto-Based Multi-output Model Type Selection
In engineering design the use of approximation models (= surrogate models) has become standard practice for design space exploration, sensitivity analysis, visualization and optimi...
Dirk Gorissen, Ivo Couckuyt, Karel Crombecq, Tom D...