Cidambi Srinivasan

According to our database, Cidambi Srinivasan authored at least 21 papers between 2001 and 2015.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2015

Nonparametric and semiparametric compound estimation in multiple covariates.

Richard J. Charnigo, Limin Feng, Cidambi Srinivasan

J. Multivar. Anal., 2015

2014

Estimation of Hidden Markov Chains by a Neural Network.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2012

Simultaneous Learning of Several Bayesian and Mahalanobis Discriminant Functions by a Neural Network with Memory Nodes.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

A Generalized <i>C</i>_<i>p</i> Criterion for Derivative Estimation.

Richard J. Charnigo, Benjamin Hall, Cidambi Srinivasan

Technometrics, 2011

Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

Simultaneous Learning of Several Bayesian Discriminant Functions by a Neural Network with Additional Nodes.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Aust. J. Intell. Inf. Process. Syst., 2010

2009

Learning of Mahalanobis Discriminant Functions by a Neural Network.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008

Digital Systems, Partnership Networks, and Competition: The Co-Evolution of IOS Use and Network Position as Antecedents of Competitive Action.

Lei Chi, Clyde W. Holsapple, Cidambi Srinivasan

J. Organ. Comput. Electron. Commer., 2008

Multi-category Bayesian Decision by Neural Networks.

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Proceedings of the Artificial Neural Networks, 2008

2007

The linkage between IOS use and competitive action: a competitive dynamics perspective.

Lei Chi, Clyde W. Holsapple, Cidambi Srinivasan

Inf. Syst. E Bus. Manag., 2007

Competitive Dynamics in Electronic Networks: A Model and the Case of Interorganizational Systems.

Lei Chi, Clyde W. Holsapple, Cidambi Srinivasan

Int. J. Electron. Commer., 2007

Learning of Bayesian Discriminant Functions by a Layered Neural Network.

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

Discriminant Analysis by a Neural Network with Mahalanobis Distance.

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Proceedings of the Artificial Neural Networks, 2006

Performance impacts of information systems use: Is competitive action a missing link?

Lei Chi, Clyde W. Holsapple, Cidambi Srinivasan

Proceedings of the Fourteenth European Conference on Information Systems, 2006

2005

Bayesian decision theory on three-layer neural networks.

Yoshifusa Ito, Cidambi Srinivasan

Neurocomputing, 2005

Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities.

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2003

Strategic information systems planning: too little or too much?

Henry E. Newkirk, Albert L. Lederer, Cidambi Srinivasan

J. Strateg. Inf. Syst., 2003

Multicategory Bayesian Decision Using a Three-Layer Neural Network.

Yoshifusa Ito, Cidambi Srinivasan

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2001

Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information.

Yoshifusa Ito, Cidambi Srinivasan

Proceedings of the Artificial Neural Networks, 2001

Bayesian decision theory on three layered neural networks.

Yoshifusa Ito, Cidambi Srinivasan

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001