Bayesian decision theory on three layered neural networks. - Yoshifusa Ito; Cidambi Srinivasan (ESANN, 2001)

Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information. - Yoshifusa Ito; Cidambi Srinivasan (ICANN, 2001)

Multicategory Bayesian Decision Using a Three-Layer Neural Network. - Yoshifusa Ito; Cidambi Srinivasan (ICANN, 2003)

Strategic information systems planning: too little or too much? - Henry E. Newkirk; Albert L. Lederer; Cidambi Srinivasan (J. Strateg. Inf. Syst., 2003)

Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities. - Yoshifusa Ito; Cidambi Srinivasan; Hiroyuki Izumi (ICANN (2), 2005)

Bayesian decision theory on three-layer neural networks. - Yoshifusa Ito; Cidambi Srinivasan (Neurocomputing, 2005)

Performance impacts of information systems use: Is competitive action a missing link? - Lei Chi; Clyde W. Holsapple; Cidambi Srinivasan (ECIS, 2006)

Discriminant Analysis by a Neural Network with Mahalanobis Distance. - Yoshifusa Ito; Cidambi Srinivasan; Hiroyuki Izumi (ICANN (2), 2006)

Learning of Bayesian Discriminant Functions by a Layered Neural Network. - Yoshifusa Ito; Cidambi Srinivasan; Hiroyuki Izumi (ICONIP (1), 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)

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)

Multi-category Bayesian Decision by Neural Networks. - Yoshifusa Ito; Cidambi Srinivasan; Hiroyuki Izumi (ICANN (1), 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)

Learning of Mahalanobis Discriminant Functions by a Neural Network. - Yoshifusa Ito; Hiroyuki Izumi; Cidambi Srinivasan (ICONIP (1), 2009)

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)

A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network. - Yoshifusa Ito; Hiroyuki Izumi; Cidambi Srinivasan (ICONIP (2), 2011)

Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes. - Yoshifusa Ito; Hiroyuki Izumi; Cidambi Srinivasan (IJCNN, 2011)

A Generalized Cp 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 Memory Nodes. - Yoshifusa Ito; Hiroyuki Izumi; Cidambi Srinivasan (ICONIP (5), 2012)

Estimation of Hidden Markov Chains by a Neural Network. - Yoshifusa Ito; Hiroyuki Izumi; Cidambi Srinivasan (ICONIP (1), 2014)

Nonparametric and semiparametric compound estimation in multiple covariates. - Richard J. Charnigo; Limin Feng; Cidambi Srinivasan (J. Multivar. Anal., 2015)