Zaffalon, Marco and Corani, Giorgio (2014) Comments on “Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks” by Andrés R. Masegosa and Serafín Moral. International Journal of Approximate Reasoning, 55 (7). pp. 1597-1600. ISSN 0888-613X (In Press)
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Official Website: http://dx.doi.org/10.1016/j.ijar.2014.05.001
Abstract
We briefly overview the problem of learning probabilities from data using imprecise probability models that express very weak prior beliefs. Then we comment on the new contributions to this question given in the paper by Masegosa and Moral and provide some insights about the performance of their models in data mining experiments of classification.
| Item Type: | Scientific journal article, Newspaper article or Magazine article |
|---|---|
| Subjects: | Mathematical sciences > Statistics > Probability Computer sciences > Artificial intelligence |
| Department/unit: | Dipartimento tecnologie innovative > Istituto Dalle Molle di studi sull’intelligenza artificiale USI-SUPSI |
| Depositing User: | Giorgio Corani |
| Date Deposited: | 10 Jun 2014 05:46 |
| Last Modified: | 23 May 2016 13:50 |
| URI: | http://repository.supsi.ch/id/eprint/4739 |
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