Differentiable Rule Induction with Learned Relational Features

Autor: Kusters, Remy, Kim, Yusik, Collery, Marine, de Sainte Marie, Christian, Gupta, Shubham

Rule-based decision models are attractive due to their interpretability. However, existing rule induction methods often results in long and consequently less interpretable set of rules. This problem can, in many cases, be attributed to the rule learn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f2bff49936abb111157280c9225c544
https://hal.inria.fr/hal-03696819

Conférence Nationale d'Intelligence Artificielle Année 2016

Autor: Mathieu, Philippe, Lourdeaux, Domitile, De Sainte Marie, Christian, Villata, Serena, Demazeau, Yves, Maris, Frédéric

Publikováno v: Reconnaissance des Formes et Intelligence Artificielle, RFIA 2016
Association Française pour l'Intelligence Artificielle (AFIA). Reconnaissance des Formes et Intelligence Artificielle, RFIA 2016, Jun 2016, Clermont-Ferrand, France. 2016

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9c2bf4f7a7896157294c17fcba4fe2f8
https://hal.archives-ouvertes.fr/hal-02189782

The Learnability of Business Rules.

Autor: Wang, Olivier, Ke, Changhai, Liberti, Leo, de Sainte Marie, Christian

Publikováno v: Machine Learning, Optimization & Big Data (9783319514680); 2016, p257-268, 12p

Please Pass the Rules: A Rule Interchange Demonstration.

Autor: Hallmark, Gary, de Sainte Marie, Christian, Didonet Del Fabro, Marcos, Albert, Patrick, Paschke, Adrian

Publikováno v: Rule Representation, Interchange & Reasoning on the Web; 2008, p227-235, 9p