Takéhiko Nakama

19 papers A 2B 1C 3Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2014 J jnl
Combining dependent evidential bodies that share common knowledge.
Int. J. Approx. Reason.
Takéhiko Nakama, Enrique H. Ruspini
2013 — conf
A Mathematician's Naive Perspective on Fuzzy Sets and Fuzzy Logic.
On Fuzziness (2)
Takéhiko Nakama
2013 — conf
Facilitating Human-Robot Interaction: A Formal Logic for Task Description.
ROBOT (2)
Takéhiko Nakama, Enrique Muñoz, Kevin LeBlanc, Enrique H. Ruspini
2013 C conf
Generalization and Formalization of Precisiation Language with Applications to Human-Robot Interaction.
IJCCI
Takéhiko Nakama, Enrique Muñoz, Enrique H. Ruspini
2013 — conf
Generalizing Precisiated Natural Language: A Formal Logic as a Precisiation Language.
EUSFLAT Conf.
Takéhiko Nakama, Enrique H. Ruspini
2013 C conf
Hierarchical Qualitative Descriptions of Perceptions for Robotic Environments.
IJCCI
Enrique Muñoz, Takéhiko Nakama, Enrique H. Ruspini
2012 B conf
Admissibility of preferences and modeling capabilities of fuzzy integrals.
FUZZ-IEEE
Takéhiko Nakama, Michio Sugeno
2012 — ch.
Axiomatic Investigation of Fuzzy Probabilities.
Soft Computing in Humanities and Social Sciences
Takéhiko Nakama, Enric Trillas, Itziar García-Honrado
2012 J jnl
Distributional convergence for the number of symbol comparisons used by QuickSelect
CoRR
James Allen Fill, Takéhiko Nakama
2012 J jnl
Markov chain analysis of genetic algorithms applied to fitness functions perturbed concurrently by additive and multiplicative noise.
Comput. Optim. Appl.
Takéhiko Nakama
2011 — conf
Comparisons of Single- and Multiple-Hidden-Layer Neural Networks.
ISNN (1)
Takéhiko Nakama
2010 J jnl
Analysis of the Expected Number of Bit Comparisons Required by Quickselect.
Algorithmica
James Allen Fill, Takéhiko Nakama
2010 C conf
Fuzzy Probabilities: Tentative Discussions on the Mathematical Concepts.
IPMU
Enric Trillas, Takéhiko Nakama, Itziar García-Honrado
2010 — conf
Two-Way Analysis of Variance for Interval-Valued Data.
SMPS
Takéhiko Nakama, Ana Colubi, María Asunción Lubiano
2009 A conf
Markov chain analysis of genetic algorithms in a wide variety of noisy environments.
GECCO
Takéhiko Nakama
2009 J jnl
Theoretical analysis of batch and on-line training for gradient descent learning in neural networks.
Neurocomputing
Takéhiko Nakama
2008 — conf
Analysis of the Expected Number of Bit Comparisons Required by Quickselect.
ANALCO
James Allen Fill, Takéhiko Nakama
2008 — ch.
Markov Chain Analysis of Genetic Algorithms Applied to Fitness Functions Perturbed by Multiple Sources of Additive Noise.
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Takéhiko Nakama
2008 A conf
Theoretical analysis of genetic algorithms in noisy environments based on a Markov Model.
GECCO
Takéhiko Nakama