We now introduce an algorithm for integrating mass relations (chapter 4) into the Bayesian classifier to obtain a ... for i = 1,..., k, then k - 1 whef i-1,...,km (Fole) = His XC IIm.0) (F) '' repb, i=1 By conditioning on this mass ...
A well - known example of the BN classifier is the naive Bayesian classifier , which is a network with one arc from ... probability density of x for each class can be decomposed into a product of local interaction models , i.e. f ( x ...
... Cheng [14] Anders [3] Boyd [11] Barat [4] Cruddas [16] Bernier [7] Miyake [41] Benediktsson [6] Flexer [19] Chatterjee [13] Ono [42] Bissessur [8] Rizzi [50] Cloarec [15] Ripley [48] Bruzzone [12] Sarle|54] Duch [17] Sarajedini [52] ...
The 2010 International Symposium on Integrated Uncertainty Management and Applications (IUM’2010), which takes place at the Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan, between 9th–11thApril, is therefore ...
... Soft Methodology and Random Information Systems, Springer, Berlin and Heidelberg, 2004, pp. 157–164. [2] J. Abellan and S. Moral, Difference of entropies as a nonspecificity function on credal sets, Intern. J. of General Systems, 2005 ...