Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
397337 | International Journal of Approximate Reasoning | 2014 | 5 Pages |
Abstract
In this paper we answer to the comments provided by Fabio Cozman, Marco Zaffalon, Giorgio Corani, and Didier Dubois on our paper ‘Imprecise Probability Models for Learning Multinomial Distributions from Data. Applications to Learning Credal Networks’. The main topics we have considered are: regularity, the learning principle, the trade-off between prior imprecision and learning, strong symmetry, and the properties of ISSDM for learning graphical conditional independence models.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Andrés R. Masegosa, Serafín Moral,