Research output per year
Research output per year
- 11 results
Search results
-
2015
Non-equilibrium analysis of emission spectroscopy data taken in the freestream of the NASA IHF arc jet facility
Winter, M. W., Srinivasan, C. & Charnigo, R., 2015, 46th AIAA Plasmadynamics and Lasers Conference. (46th AIAA Plasmadynamics and Lasers Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
7 Scopus citations -
2012
Simultaneous learning of several Bayesian and mahalanobis discriminant functions by a neural network with memory nodes
Ito, Y., Izumi, H. & Srinivasan, C., 2012, Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings. PART 5 ed. p. 25-33 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7667 LNCS, no. PART 5).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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2011
A new algorithm for learning mahalanobis discriminant functions by a neural network
Ito, Y., Izumi, H. & Srinivasan, C., 2011, Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings. PART 2 ed. p. 596-605 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7063 LNCS, no. PART 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes
Ito, Y., Izumi, H. & Srinivasan, C., 2011, 2011 International Joint Conference on Neural Networks, IJCNN 2011 - Final Program. p. 733-740 8 p. 6033294. (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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2009
Learning of mahalanobis discriminant functions by a neural network
Ito, Y., Izumi, H. & Srinivasan, C., 2009, Neural Information Processing - 16th International Conference, ICONIP 2009, Proceedings. PART 1 ed. p. 417-424 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5863 LNCS, no. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
4 Scopus citations -
2008
Learning of Bayesian discriminant functions by a layered neural network
Ito, Y., Srinivasan, C. & Izumi, H., 2008, Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers. PART 1 ed. p. 238-247 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4984 LNCS, no. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Scopus citations -
Multi-category bayesian decision by neural networks
Ito, Y., Srinivasan, C. & Izumi, H., 2008, Artificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings. PART 1 ed. p. 21-30 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5163 LNCS, no. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Scopus citations -
2007
A neural network having fewer inner constants to be trained and Bayesian decision
Ito, Y., Srinivasan, C. & Izumi, H., 2007, The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings. p. 2993-2998 6 p. 4371437. (IEEE International Conference on Neural Networks - Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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2006
Discriminant analysis by a neural network with mahalanobis distance
Ito, Y., Srinivasan, C. & Izumi, H., 2006, Artificial Neural Networks, ICANN 2006 - 16th International Conference, Proceedings. p. 350-360 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4132 LNCS - II).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
12 Scopus citations -
2005
Bayesian learning of neural networks adapted to changes of prior probabilities
Ito, Y., Srinivasan, C. & Izumi, H., 2005, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 252-259 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3697 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
10 Scopus citations -
2001
Approximation of Bayesian discriminant function by neural networks in terms of Kullback-Leibler information
Ito, Y. & Srinivasan, C., 2001, Artificial Neural Networks - ICANN 2001 - International Conference, Proceedings. Hornik, K., Dorffner, G. & Bischof, H. (eds.). p. 135-140 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2130).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations