Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Silja Renooij"'
Publikováno v:
Argument & Computation, Pp 1-8 (2023)
This paper provides a formal description of two legal domains. In addition, we describe the generation of various artificial datasets from these domains and explain the use of these datasets in previous experiments aligning learning and reasoning. Th
Externí odkaz:
https://doaj.org/article/707041fa895d4908968664300d4a0fdb
Publikováno v:
Argument & Computation, Vol 13, Iss 1, Pp 49-91 (2022)
In this paper, we propose an argumentation formalism that allows for both deductive and abductive argumentation, where ‘deduction’ is used as an umbrella term for both defeasible and strict ‘forward’ inference. Our formalism is based on an ex
Externí odkaz:
https://doaj.org/article/c370b2d41ea44337824be48d42c4cbc7
Publikováno v:
The International FLAIRS Conference Proceedings. 36
Bayesian networks are interpretable probabilistic models that can be constructed from both data and domain knowledge. They are applied in various domains and for different tasks, including that of anomaly detection, for which an easy to compute measu
Publikováno v:
Argument and Computation, 13(1), 49-91. IOS Press
Argument and Computation, 13(1), 49. Taylor and Francis Ltd.
Argument and Computation, 13(1), 49. Taylor and Francis Ltd.
In this paper, we propose an argumentation formalism that allows for both deductive and abductive argumentation, where ‘deduction’ is used as an umbrella term for both defeasible and strict ‘forward’ inference. Our formalism is based on an ex
Publikováno v:
International Journal of Approximate Reasoning, 136, 249-280. ELSEVIER SCIENCE INC
International Journal of Approximate Reasoning, 136, 249. Elsevier
International Journal of Approximate Reasoning, 136, 249. Elsevier
In this paper, we present the information graph (IG) formalism, which provides a precise account of the interplay between deductive and abductive inference and causal and evidential information, where ‘deduction’ is used for defeasible ‘forward
Autor:
Silja Renooij
Publikováno v:
International Journal of Approximate Reasoning. 68:88-90
Autor:
Silja Renooij
Publikováno v:
International Journal of Approximate Reasoning. 55:1022-1042
Upon varying parameters in a sensitivity analysis of a Bayesian network, the standard approach is to co-vary the parameters from the same conditional distribution such that their proportions remain the same. Alternative co-variation schemes are, howe
Autor:
Silja Renooij, Linda C. van der Gaag
Publikováno v:
International Journal of Approximate Reasoning. 49:398-416
Empirical evidence shows that naive Bayesian classifiers perform quite well compared to more sophisticated classifiers, even in view of inaccuracies in their parameters. In this paper, we study the effects of such parameter inaccuracies by investigat
Publikováno v:
ICAIL
ICAIL '15 Proceedings of the 15th International Conference on Artificial Intelligence and Law, 233-234
STARTPAGE=233;ENDPAGE=234;TITLE=ICAIL '15 Proceedings of the 15th International Conference on Artificial Intelligence and Law
ICAIL '15 Proceedings of the 15th International Conference on Artificial Intelligence and Law, 233-234
STARTPAGE=233;ENDPAGE=234;TITLE=ICAIL '15 Proceedings of the 15th International Conference on Artificial Intelligence and Law
Reasoning about statistics and probabilities can, when not treated with cautiousness, lead to reasoning errors. Over the last decades the rise of forensic sciences has led to an increase in the availability of statistical evidence. To facilitate the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b48f1e00e614080c5d16a37c863bc8de
https://doi.org/10.1145/2746090.2750370
https://doi.org/10.1145/2746090.2750370
Publikováno v:
International Journal of Approximate Reasoning. 38:333-354
A qualitative probabilistic network is a graphical model of the probabilistic influences among a set of statistical variables, in which each influence is associated with a qualitative sign. A non-monotonic influence between two variables is associate