Title :
Learning subjective probabilities from a small data set
Author :
Moraga, Claudio ; Huang, Chongfu
Author_Institution :
Dept. Artificial Intelligence, Tech. Univ. of Madrid, Spain
Abstract :
A method to learn subjective probabilities from sparse data is discussed. The method is based on the principle of Information Diffusion and exhibits a complexity O(n logn). A way of generating families of Information Diffusion functions is discussed. Applications on real data and varying number of samples are shown.
Keywords :
computational complexity; fuzzy set theory; probability; information diffusion; sparse data set; subjective probabilities; Artificial intelligence; Economic forecasting; Fuzzy sets; Informatics; Learning; Logic; Terrorism; Uncertainty;
Conference_Titel :
Multiple-Valued Logic, 2003. Proceedings. 33rd International Symposium on
Print_ISBN :
0-7695-1918-0
DOI :
10.1109/ISMVL.2003.1201428
