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Learning polynomial feedforward neural networks by genetic programming and backpropagation.
Nikolay Y. Nikolaev, and Hitoshi Iba IEEE Transactions on Neural Networks 14(2):337-350 (2003)
to dblp by dblp and 1 other user on Dec 16, 2011, 12:00 AM
URL | BibTeX
Designing a Multi-petabyte Database for LSST
Jacek Becla, Andrew Hanushevsky, Sergei Nikolaev, Ghaleb Abdulla, Alexander S. Szalay, María A. Nieto-Santisteban, Ani Thakar, and Jim Gray CoRR (2006)
to dblp by dblp on Dec 5, 2011, 12:00 AM
URL | BibTeX
Exploring Oracle RDBMS latches using Solaris DTrace
Andrey Nikolaev CoRR (2011)
to dblp by dblp on Dec 5, 2011, 12:00 AM
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Regularization approach to inductive genetic programming.
Nikolay I. Nikolaev, and Hitoshi Iba IEEE Trans. Evolutionary Computation 5(4):359-375 (2001)
to dblp by dblp and 1 other user on Oct 31, 2011, 12:00 AM
URL | BibTeX
Recursive Bayesian recurrent neural networks for time-series modeling.
Derrick Takeshi Mirikitani, and Nikolay I. Nikolaev IEEE Transactions on Neural Networks 21(2):262-274 (2010)
to dblp by dblp on Sep 8, 2011, 12:00 AM
URL | BibTeX
Nonlinear maximum likelihood estimation of electricity spot prices using recurrent neural networks.
Derrick Takeshi Mirikitani, and Nikolay I. Nikolaev Neural Computing and Applications 20(1):79-89 (2011)
to dblp by dblp on Sep 8, 2011, 12:00 AM
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Efficient online recurrent connectionist learning with the ensemble Kalman filter.
Derrick Takeshi Mirikitani, and Nikolay I. Nikolaev Neurocomputing 73(4-6):1024-1030 (2010)
to dblp by dblp on Sep 8, 2011, 12:00 AM
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Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks.
Derrick Takeshi Mirikitani, and Nikolay I. Nikolaev ICMLA, page 843-848. IEEE Computer Society, (2008)
to dblp by dblp on Sep 8, 2011, 12:00 AM
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Recurrent Expectation Maximization Neural Modeling.
Derrick Takeshi Mirikitani, and Nikolay I. Nikolaev CIMCA/IAWTIC/ISE, page 674-679. IEEE Computer Society, (2008)
to dblp by dblp on Sep 8, 2011, 12:00 AM
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Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks.
Derrick Takeshi Mirikitani, and Nikolay I. Nikolaev IJCNN, page 282-287. IEEE, (2007)
to dblp by dblp on Sep 8, 2011, 12:00 AM
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Unscented grid filtering and elman recurrent networks.
Nikolay Y. Nikolaev, Derrick Takeshi Mirikitani, and Evgueni N. Smirnov IJCNN, page 1-7. IEEE, (2010)
to dblp by dblp on Sep 7, 2011, 12:00 AM
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On the efficient computation of independent contact regions for force closure grasps.
Robert Krug 0002, Dimitar Nikolaev Dimitrov, Krzysztof Andrzej Charusta, and Boyko Iliev IROS, page 586-591. IEEE, (2010)
to dblp by dblp on Aug 26, 2011, 12:00 AM
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A Recovery Scheme for Cluster Federations Using Sender-based Message Logging.
Bidyut Gupta, Ruslan Nikolaev, and Raja Chirra CIT 19(2):127-139 (2011)
to dblp by dblp on Aug 25, 2011, 12:00 AM
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The Application of Sea Wave Slope Distribution Empirical Dependences in Estimation of Interaction Between Microwave Radiation and Rough Sea Surface.
Mikhail V. Danilytchev, Boris G. Kutuza, and Alexander G. Nikolaev IEEE T. Geoscience and Remote Sensing 47(2):652-661 (2009)
to dblp by dblp on Aug 10, 2011, 12:00 AM
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Finite Index Subgroups of Fully Residually Free Groups.
Andrey V. Nikolaev, and Denis E. Serbin IJAC 21(4):651-673 (2011)
to dblp by dblp on Jul 11, 2011, 12:00 AM
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Combined Course Programmes Generation in Multi-agent e-Learning System Using Policy-Based HTN Planning.
Pavel Nikolaev, and Aladdin Ayesh KES-AMSTA, volume 6682 of Lecture Notes in Computer Science, page 504-513. Springer, (2011)
to dblp by dblp on Jul 4, 2011, 12:00 AM
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Adaptive algorithm of automated annotation.
Andrey M. Leontovich, L. I. Brodsky, V. A. Drachev, and V. K. Nikolaev Bioinformatics 18(6):838-844 (2002)
to dblp by dblp on Jun 29, 2011, 12:00 AM
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Automated Discovery of Polynomials by Inductive Genetic Programming.
Nikolay I. Nikolaev, and Hitoshi Iba PKDD, volume 1704 of Lecture Notes in Computer Science, page 456-461. Springer, (1999)
to dblp by dblp and 1 other user on Jun 20, 2011, 12:00 AM
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Immune Network Dynamics for Inductive Problem Solving.
Vanio Slavov, and Nikolay I. Nikolaev PPSN, volume 1498 of Lecture Notes in Computer Science, page 712-721. Springer, (1998)
to dblp by dblp on Jun 17, 2011, 12:00 AM
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Time-Dependent Series Variance Estimation via Recurrent Neural Networks.
Nikolay I. Nikolaev, Peter Tino, and Evgueni N. Smirnov ICANN 1, volume 6791 of Lecture Notes in Computer Science, page 176-184. Springer, (2011)
to dblp by dblp on Jun 17, 2011, 12:00 AM
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