460 search results - page 50 / 92 » Neural Network Algorithms for the p-Median Problem |
112
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JMLR
2010
14 years 6 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
FPGA
1997
ACM
15 years 3 months ago
1997
ACM
Event identification in photon counting ICCD detectors requires a high level image analysis which cannot be easily described algorithmically: neural networks are promising to appr...
EUROCAST
2007
Springer
15 years 3 months ago
2007
Springer
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
105
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ISNN
2007
Springer
15 years 5 months ago
2007
Springer
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
IJCNN
2008
IEEE
15 years 5 months ago
2008
IEEE
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...