Tesis
Aprendizado semissupervisionado através de técnicas de acoplamento
Fecha
2011-02-17Registro en:
DUARTE, Maisa Cristina. Aprendizado semissupervisionado através de técnicas de acoplamento. 2011. 110 f. Dissertação (Mestrado em Ciências Exatas e da Terra) - Universidade Federal de São Carlos, São Carlos, 2011.
Autor
Duarte, Maisa Cristina
Institución
Resumen
Machine Learning (ML) can be seen as research area within the Artificial Intelligence (AI) that aims to develop computer programs that can evolve with new experiences. The main ML purpose is the search for methods and techniques that enable the computer system improve its performance autonomously using information learned through its use. This feature can be considered the fundamental mechanisms of the processes of automatic learning. The main goal in this research project was to investigate, propose and implement methods and algorithms to allow the construction of a continuous learning system capable of extracting knowledge from the Web in Portuguese, throughout the creation of a knowledge base which can be constantly updated as new knowledge is extracted.