Eiji Mizutani

According to our database1, Eiji Mizutani authored at least 21 papers between 1999 and 2017.

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

Timeline

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PhD thesis 
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Bibliography

2017
Totally model-free actor-critic recurrent neural-network reinforcement learning in non-Markovian domains.
Annals OR, 2017

2015
On a staged successive approximation procedure for approximate dynamic programming solutions to board game playing.
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015

2012
A block-approximate local Hessian-matrix analysis for CANFIS neuro-fuzzy modular network learning.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
On improving trust-region variable projection algorithms for separable nonlinear least squares learning.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Online neuro-fuzzy CANFIS hidden-node teaching.
Proceedings of the FUZZ-IEEE 2011, 2011

On exploiting sparsity in CANFIS neuro-fuzzy modular network learning by second-order stagewise backpropagation.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
An analysis on negative curvature induced by singularity in multi-layer neural-network learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008
Corrigendum to: "Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature" [Neural Netw. 21(2-3) (2008) 193-203]
Neural Networks, 2008

Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature.
Neural Networks, 2008

2007
On exploiting symmetry for multilayer perceptron learning.
Proceedings of the International Joint Conference on Neural Networks, 2007

On practical use of stagewise second-order backpropagation for multi-stage neural-network learning.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning.
Proceedings of the International Joint Conference on Neural Networks, 2006

2003
On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning.
Neural Networks, 2003

Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

On using discretized Cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003

2002
Multi-illuminant color reproduction for electronic cameras via CANFIS neuro-fuzzy modular network device characterization.
IEEE Trans. Neural Networks, 2002

2000
Evolving color recipes.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2000

On Iterative Krylov-Dogleg Trust-Region Steps for Solving Neural Networks Nonlinear Least Squares Problems.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application.
IJCNN (2), 2000

1999
Sample path-based policy-only learning by actor neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Powell's dogleg trust-region steps with the quasi-Newton augmented Hessian for neural nonlinear least-squares learning.
Proceedings of the International Joint Conference Neural Networks, 1999


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