Takéhiko Nakama

According to our database1, Takéhiko Nakama authored at least 18 papers between 2008 and 2014.

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

Timeline

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Bibliography

2014
Combining dependent evidential bodies that share common knowledge.
Int. J. Approx. Reason., 2014

2013
Facilitating Human-Robot Interaction: A Formal Logic for Task Description.
Proceedings of the ROBOT 2013: First Iberian Robotics Conference, 2013

Generalization and Formalization of Precisiation Language with Applications to Human-Robot Interaction.
Proceedings of the IJCCI 2013, 2013

Hierarchical Qualitative Descriptions of Perceptions for Robotic Environments.
Proceedings of the IJCCI 2013, 2013

Generalizing Precisiated Natural Language: A Formal Logic as a Precisiation Language.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

A Mathematician's Naive Perspective on Fuzzy Sets and Fuzzy Logic.
Proceedings of the On Fuzziness - A Homage to Lotfi A. Zadeh - Volume 2, 2013

2012
Axiomatic Investigation of Fuzzy Probabilities.
Proceedings of the Soft Computing in Humanities and Social Sciences, 2012

Distributional convergence for the number of symbol comparisons used by QuickSelect
CoRR, 2012

Markov chain analysis of genetic algorithms applied to fitness functions perturbed concurrently by additive and multiplicative noise.
Comput. Optim. Appl., 2012

Admissibility of preferences and modeling capabilities of fuzzy integrals.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Comparisons of Single- and Multiple-Hidden-Layer Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

2010
Analysis of the Expected Number of Bit Comparisons Required by Quickselect.
Algorithmica, 2010

Two-Way Analysis of Variance for Interval-Valued Data.
Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

Fuzzy Probabilities: Tentative Discussions on the Mathematical Concepts.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

2009
Theoretical analysis of batch and on-line training for gradient descent learning in neural networks.
Neurocomputing, 2009

Markov chain analysis of genetic algorithms in a wide variety of noisy environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Markov Chain Analysis of Genetic Algorithms Applied to Fitness Functions Perturbed by Multiple Sources of Additive Noise.
Proceedings of the Software Engineering, 2008

Theoretical analysis of genetic algorithms in noisy environments based on a Markov Model.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008


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