Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules. An ...

Formal languages and automata (FLA) theory have fundamental relevance to the base of knowledge in the computer science area, especially focusing on scientific education. Usually presented by a discipline, the teaching-learning ...

Formal languages and automata (FLA) theory have fundamental relevance to the base of knowledge in the computer science area, especially focusing on scientific education. Usually presented by a discipline, the teaching-learning ...

El presente desarrollo de tesis busca progresar sobre las líneas de investigación existentes en referencia a la inferencia de Probabilistic Deterministic Finite Automata (PDFAs) desde modelos de lenguajes en un marco de ...

This paper aims at introducing a methodology focused on student-centered learning and aided by an educational collaborative and graphical tool. Through it, we enable students to interact with abstract topics as well as ...

Reinforcement Learning (RL) is a machine learning paradigm wherein an artificial agentinteracts with an environment with the purpose of learning behaviour that maximizesthe expected cumulative reward it receives from the ...

El siguiente proyecto es una extensión y reestructura del framework de algoritmos de aprendizaje de autómatas basados en MAT, desarrollado por la Cátedra de Inteligencia Artificial de la Universidad ORT Uruguay. El objetivo ...

The recent technical project of titulacion, has as general objective, the implementation of two didactic modules, PLC S7-1200, by means of which the students will be able to realize practices of Wireless communication ...