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ORCIDCidambi Srinivasan
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Journal Articles
- 2015
[j8]Richard J. Charnigo, Limin Feng, Cidambi Srinivasan:
Nonparametric and semiparametric compound estimation in multiple covariates. J. Multivar. Anal. 141: 179-196 (2015)- 2011
- [j7]Richard J. Charnigo, Benjamin Hall, Cidambi Srinivasan:
A Generalized Cp Criterion for Derivative Estimation. Technometrics 53(3): 238-253 (2011) - 2010
- [j6]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Simultaneous Learning of Several Bayesian Discriminant Functions by a Neural Network with Additional Nodes. Aust. J. Intell. Inf. Process. Syst. 11(4) (2010) - 2008
- [j5]Lei Chi, Clyde W. Holsapple, Cidambi Srinivasan:
Digital Systems, Partnership Networks, and Competition: The Co-Evolution of IOS Use and Network Position as Antecedents of Competitive Action. J. Organ. Comput. Electron. Commer. 18(1): 61-94 (2008) - 2007
- [j4]Lei Chi, Clyde W. Holsapple, Cidambi Srinivasan:
Competitive Dynamics in Electronic Networks: A Model and the Case of Interorganizational Systems. Int. J. Electron. Commer. 11(3): 7-49 (2007) - [j3]Lei Chi, Clyde W. Holsapple, Cidambi Srinivasan:
The linkage between IOS use and competitive action: a competitive dynamics perspective. Inf. Syst. E Bus. Manag. 5(4): 319-356 (2007) - 2005
- [j2]Yoshifusa Ito, Cidambi Srinivasan:
Bayesian decision theory on three-layer neural networks. Neurocomputing 63: 209-228 (2005) - 2003
- [j1]Henry E. Newkirk, Albert L. Lederer, Cidambi Srinivasan:
Strategic information systems planning: too little or too much? J. Strateg. Inf. Syst. 12(3): 201-228 (2003)
Conference and Workshop Papers
- 2014
- [c13]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Estimation of Hidden Markov Chains by a Neural Network. ICONIP (1) 2014: 602-609 - 2012
- [c12]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Simultaneous Learning of Several Bayesian and Mahalanobis Discriminant Functions by a Neural Network with Memory Nodes. ICONIP (5) 2012: 25-33 - 2011
- [c11]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network. ICONIP (2) 2011: 596-605 - [c10]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes. IJCNN 2011: 733-740 - 2009
- [c9]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Learning of Mahalanobis Discriminant Functions by a Neural Network. ICONIP (1) 2009: 417-424 - 2008
- [c8]Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Multi-category Bayesian Decision by Neural Networks. ICANN (1) 2008: 21-30 - 2007
- [c7]Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Learning of Bayesian Discriminant Functions by a Layered Neural Network. ICONIP (1) 2007: 238-247 - 2006
- [c6]Lei Chi, Clyde W. Holsapple, Cidambi Srinivasan:
Performance impacts of information systems use: Is competitive action a missing link? ECIS 2006: 639-649 - [c5]Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Discriminant Analysis by a Neural Network with Mahalanobis Distance. ICANN (2) 2006: 350-360 - 2005
- [c4]Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities. ICANN (2) 2005: 253-259 - 2003
- [c3]Yoshifusa Ito, Cidambi Srinivasan:
Multicategory Bayesian Decision Using a Three-Layer Neural Network. ICANN 2003: 253-261 - 2001
- [c2]Yoshifusa Ito, Cidambi Srinivasan:
Bayesian decision theory on three layered neural networks. ESANN 2001: 377-382 - [c1]Yoshifusa Ito, Cidambi Srinivasan:
Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information. ICANN 2001: 135-140
Coauthor Index
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