Conference Code: 18SG05ICCBCS
International Research Conference Aims and Objectives
The ICCBCS 2018: 20th International Conference on Computational and Bayesian Cognitive Science
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Computational and Bayesian Cognitive Science. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computational and Bayesian Cognitive Science.
Call for Contributions
All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Computational and Bayesian Cognitive Science are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.WASET
International research conference series is an event that brings together significant number of recurring events; academic conferences, symposia, workshops, special sessions, and plenary talks in all field of science and technology since inception in 1999. Each event may run over any span of time within the conference days.
All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the International Science Index (ISI)
, Google Scholar
, Semantic Scholar
, and other index databases. Impact Factor Indicators
Special Journal Issues
has teamed up with the Special Journal Issue on Computational and Bayesian Cognitive Science
A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form
|Abstracts/Full-Text Paper Submission Deadline
||March 15, 2018
|Notification of Acceptance/Rejection
||March 20, 2018
|Final Paper (Camera Ready) Submission & Early Bird Registration Deadline
||April 3, 2018
||May 3 - 4, 2018
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for
Please refer to the Paper Submission GUIDE
before submitting your paper.
Selected Conference Papers
1) Human Action Recognition Using Variational Bayesian HMM with Dirichlet Process Mixture of Gaussian Wishart Emission ModelWanhyun Cho, Soonja Kang, Sangkyoon Kim, Soonyoung Park 2) FEM Models of Glued Laminated Timber Beams Enhanced by Bayesian Updating of Elastic ModuliL. Melzerová, T. Janda, M. Šejnoha, J. Šejnoha 3) Generalized Mean-field Theory of Phase Unwrapping via Multiple InterferogramsYohei Saika 4) Production Throughput Modeling under Five Uncertain Variables Using Bayesian InferenceAmir Azizi, Amir Yazid B. Ali, Loh Wei Ping 5) Bayesian Inference for Phase Unwrapping Using Conjugate Gradient Method in One and Two DimensionsYohei Saika, Hiroki Sakaematsu, Shota Akiyama 6) Maximizer of the Posterior Marginal Estimate of Phase Unwrapping Based On Statistical Mechanics of the Q-Ising ModelYohei Saika, Tatsuya Uezu 7) Estimation of Bayesian Sample Size for Binomial Proportions Using Areas P-tolerance with Lowest Posterior LossH. Bevrani, N. Najafi 8) Bayesian Online Learning of Corresponding Points of Objects with Sequential Monte CarloMiika Toivanen, Jouko Lampinen 9) Learning a Song: an ACT-R ModelBelkacem Chikhaoui, Helene Pigot, Mathieu Beaudoin,Guillaume Pratte, Philippe Bellefeuille, Fernando Laudares 10) Stochastic Learning Algorithms for Modeling Human Category LearningToshihiko Matsuka, James E. Corter
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