John Seiffertt

According to our database1, John Seiffertt authored at least 12 papers between 2006 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2019
Adaptive Resonance Theory in the time scales calculus.
Neural Networks, 2019

2017
Digital Logic for Computing
Springer, ISBN: 978-3-319-56837-9, 2017

2010
Backpropagation and ordered derivatives in the time scales calculus.
IEEE Trans. Neural Networks, 2010

2009
Coordinated machine learning and decision support for situation awareness.
Neural Networks, 2009

Neural networks and Markov models for the iterated prisoner's dilemma.
Proceedings of the International Joint Conference on Neural Networks, 2009

An alpha derivative formulation of the Hamilton-Jacobi-Bellman equation Of Dynamic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2009

An Agent-Based computational model of a self-organizing project management paradigm for research teams.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Hamilton-Jacobi-Bellman Equations and Approximate Dynamic Programming on Time Scales.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Intelligence in Markets: Asset Pricing, Mechanism Design, and Natural Computation [Technology Review].
IEEE Comput. Intell. Mag., 2008

Decision theory on dynamic domains nabla derivatives and the Hamilton-Jacobi-Bellman equation.
Proceedings of the IEEE International Conference on Systems, 2008

A quantum calculus formulation of dynamic programming and ordered derivatives.
Proceedings of the International Joint Conference on Neural Networks, 2008

2006
Information Fusion and Situation Awareness using ARTMAP and Partially Observable Markov Decision Processes.
Proceedings of the International Joint Conference on Neural Networks, 2006


  Loading...