no code implementations • 3 Oct 2023 • Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi
Tsetlin Machines (TMs) have garnered increasing interest for their ability to learn concepts via propositional formulas and their proven efficiency across various application domains.
no code implementations • 23 Nov 2021 • Mohamed-Bachir Belaid, Arnaud Gotlieb, Nadjib Lazaar
In this paper, we propose Learn&Optimize, a method to solve optimization problems with known objective function and unknown constraint network.
no code implementations • 16 Sep 2021 • Mohamed-Bachir Belaid, Nadjib Lazaar
The problem of discovering frequent itemsets including rare ones has received a great deal of attention.
no code implementations • 4 Dec 2020 • Christian Bessiere, Mohamed-Bachir Belaid, Nadjib Lazaar
Itemset mining is one of the most studied tasks in knowledge discovery.
no code implementations • 14 Jul 2020 • Mohit Kumar Ahuja, Mohamed-Bachir Belaid, Pierre Bernabé, Mathieu Collet, Arnaud Gotlieb, Chhagan Lal, Dusica Marijan, Sagar Sen, Aizaz Sharif, Helge Spieker
Trustworthiness is a central requirement for the acceptance and success of human-centered artificial intelligence (AI).