Takéhiko Nakama

Publication Activity (10 Years)

Years Active: 2008-2014
Publications (10 Years): 0

Top Topics

Qualitative Description

Fitness Function

Natural Language

Top Venues

Int. J. Approx. Reason.

On Fuzziness (2)

Publications

Takéhiko Nakama, Enrique H. Ruspini
Combining dependent evidential bodies that share common knowledge. Int. J. Approx. Reason. 55 (9) (2014)
Enrique Muñoz, Takéhiko Nakama, Enrique H. Ruspini
Hierarchical Qualitative Descriptions of Perceptions for Robotic Environments. IJCCI (2013)
Takéhiko Nakama, Enrique H. Ruspini
Generalizing Precisiated Natural Language: A Formal Logic as a Precisiation Language. EUSFLAT Conf. (2013)
Takéhiko Nakama, Enrique Muñoz, Kevin LeBlanc, Enrique H. Ruspini
Facilitating Human-Robot Interaction: A Formal Logic for Task Description. ROBOT (2) (2013)
Takéhiko Nakama
A Mathematician's Naive Perspective on Fuzzy Sets and Fuzzy Logic. On Fuzziness (2) (2013)
Takéhiko Nakama, Enrique Muñoz, Enrique H. Ruspini
Generalization and Formalization of Precisiation Language with Applications to Human-Robot Interaction. IJCCI (2013)
Takéhiko Nakama
Markov chain analysis of genetic algorithms applied to fitness functions perturbed concurrently by additive and multiplicative noise. Comput. Optim. Appl. 51 (2) (2012)
James Allen Fill, Takéhiko Nakama
Distributional convergence for the number of symbol comparisons used by QuickSelect CoRR (2012)
Takéhiko Nakama, Michio Sugeno
Admissibility of preferences and modeling capabilities of fuzzy integrals. FUZZ-IEEE (2012)
Takéhiko Nakama
Comparisons of Single- and Multiple-Hidden-Layer Neural Networks. ISNN (1) (2011)
James Allen Fill, Takéhiko Nakama
Analysis of the Expected Number of Bit Comparisons Required by Quickselect. Algorithmica 58 (3) (2010)
Enric Trillas, Takéhiko Nakama, Itziar García-Honrado
Fuzzy Probabilities: Tentative Discussions on the Mathematical Concepts. IPMU (2010)
Takéhiko Nakama, Ana Colubi, María Asunción Lubiano
Two-Way Analysis of Variance for Interval-Valued Data. SMPS (2010)
Takéhiko Nakama
Markov chain analysis of genetic algorithms in a wide variety of noisy environments. GECCO (2009)
Takéhiko Nakama
Theoretical analysis of batch and on-line training for gradient descent learning in neural networks. Neurocomputing 73 (1-3) (2009)
Takéhiko Nakama
Theoretical analysis of genetic algorithms in noisy environments based on a Markov Model. GECCO (2008)
James Allen Fill, Takéhiko Nakama
Analysis of the Expected Number of Bit Comparisons Required by Quickselect. ANALCO (2008)