The Spiral Discovery Method: An Interpretable Tuning Model for CogInfoCom Channels
Adam Csapo*,** and Péter Baranyi*
*Computer and Automation Research Institute, Hungarian Academy of Sciences, Kende u. 13-17, Budapest 1111, Hungary
**Department of Telecommunications and Media Informatics, Budapest University of Technology and Economic, Magyar Tudosok Krt. 2, Budapest 1117, Hungary
-  M. Blattner, D. Sumikawa, and R. Greenberg, “Earcons and icons: Their structure and common design principles,” Human Computer Interaction, Vol.4, No.1, pp. 11-44, 1989.
-  A. Csapo and P. Baranyi, “A Unified Terminology for CogInfoCom Applications,” In 2nd IEEE Int. Conf. on Cognitive Infocommunications, pp. 1-6, 2011.
-  D. Norman, “Cognitive Artifacts,” pp. 17-38, Cambridge University Press, New York, NY, USA, 1991.
-  P. Barnard, “Bridging between basic theories and the artifacts of human-computer interaction,” pp. 103-127, Cambridge University Press, 1991.
-  H. Takagi, “Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation,” Proc. of the IEEE, Vol.89, No.9, pp. 1275-1296, 2001.
-  S. Barrass, “Auditory Information Design,” Ph.D. thesis, Australian National University, 1998.
-  L. D. Lathauwer, B. D. Moor, and J. Vandewalle, “A multi linear singular value decomposition,” SIAM J. on Matrix Analysis and Applications, Vol.21, No.4, pp. 1253-1278, 2000.
-  M. Ishteva, L. Lathauwer, P. Absil, and S. v. Huffel, “Dimensionality Reduction for Higher-Order Tensors: Algorithms and Applications,” Int. J. of Pure and Applied Mathematics, Vol.42, No.3, pp. 337-343, 2008.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.