460 search results - page 50 / 92 » Neural Network Algorithms for the p-Median Problem |
196
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JMLR
2010
15 years 25 days 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...
145
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FPGA
1997
ACM
15 years 10 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...
160
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EUROCAST
2007
Springer
15 years 10 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...
195
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ISNN
2007
Springer
16 years 6 days 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...
162
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IJCNN
2008
IEEE
16 years 14 days 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...