Acknowledgement
Supported by : 한국연구재단
References
- N. Srivastava, and R. Salakutdinov, Multimodal Learning with Deep Boltzmann Machines, Advances in Neural Information Processing Systems 25 (NIPS 2012), pp. 2231-2239, 2012.
- C. Kemp, J. B. Tenenbaum, T. L. Griffiths, T. Yamada, and N. Ueda, Learning Systems of Concepts with an Infinite Relational Model, Proc. of the 21st Conference on Artificial Intelligence (AAAI 2006), pp. 381-388, 2006.
- R. Kiros, R. Salakutdinov and R. Zemel, Multimodal Neural Language Models, Journal of Machine Learning Research Conference on Machine Learning, Vol. 32, No. 1, pp. 595-603, 2014.
- H. Xiao, and T. Stibor, Toward Artificial Synesthesia: Linking Images and Sounds via Words, NIPS Workshop on Machine Learning for Next Generation Computer Vision Challenges, 2010.
- B. T. Zhang, Hypernetworks: A molecular evolutionary architecture for cognitive learning and memory, IEEE Computational Intelligence Magazine, Vol. 3, No. 3, pp. 49-63, 2008. https://doi.org/10.1109/MCI.2008.926615
- B. T Zhang and J. K. Kim, DNA hypernetworks for information storage and retrieval, Lecture Notes in Computer Science DNA12, 4287, pp. 298-307, 2006.
- J. K. Kim and B. T. Zhang, Evolving hypernetworks for pattern classification, IEEE Congress on Evolutionary Computation (CEC 2007), pp. 1856-1862, 2007.
- B. T. Zhang and H. Y. Jang, A Bayesian algorithm for in vitro molecular evolution of pattern classifiers, Lecture Notes in Computer Science, 3384, pp. 458-467, 2005.
- J.-W. Ha, J.-H. Eom, S.-C. Kim, and B.-T. Zhang, Evolutionary hypernetwork models for aptamerbased cardiovascular disease diagnosis, The Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 2709-2716, 2007.
- S.-J Kim, J.-W. Ha, and B.-T. Zhang, Bayesian evolutionary hypergraph learning for predicting cancer clinical outcomes, Journal of Biomedical Informatics, 49, pp. 101-111, 2014. https://doi.org/10.1016/j.jbi.2014.02.002
- B. T. Zhang, J. W. Ha, and M. G. Kang, Sparse population code models of word learning in concept drift, Proc. of Annual Meeting of the Cognitive Science Society (CogSci 2012), pp. 1221-1226, 2012.
- A. Martin, The representation of object concepts in the brain, Annual Review of Psychology, 58, 25-45, 2007. https://doi.org/10.1146/annurev.psych.57.102904.190143
- M. Kiefer, E. J. Sim, B. Herrnberger, J. Grothe, and K. Hoenig, The sound of concepts: Four markers for a link between auditory and conceptual brain systems, Journal of Neuroscience, 28, 12224-12230, 2008. https://doi.org/10.1523/JNEUROSCI.3579-08.2008
- W. Prinz, M. Beisert and A. Herwig, Action Science : Foundation of an Emerging Discipline, MIT Press, pp. 384, 2013.
- B. T, Zhang, An incremental learning algorithm that optimizes network size and sample size in one trial, Proc. of IEEE International Conference on Neural Networks (ICNN'94), 1, pp. 215-220, 1994.
- J. H. Lee, S. H. Lee, W. H. Chung, E. S. Lee, T. H. Park, R. Deaton, and B.-T. Zhang, A DNA assembly model of sentence generation, BioSystems, 106, pp. 51-56, 2011. https://doi.org/10.1016/j.biosystems.2011.06.007
- M. J. Huiskes, M. S. Lew, The MIR Flickr Retrieval Evaluation, Proc. of the 2008 ACM International Conference on Multimedia Information Retrieval (MIR 08), 2008.
- H. Jegous, M. Douze, C. Schmid, and P. Perez, Aggregating Local Descriptors into a Compact Image Representation, Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), pp. 3304-3311, 2010.