Inteligencia Artificial

Unidad Temática III. Modelos de representación del conocimiento

Unidad Temática IV. Aprendizaje de máquina

Unidad Temática V. Algoritmos Bioinspirados

Bibliografía:

Bolón-Canedo, V., Sánchez-Maroño. N. Y Alonso-Betanzoa, A. Feature selection for High Dimensional Data; Springer; 2015
•Brachman, J. Y Levesque, J.. Knowledge representation and reasoning; Elsevier; 2004
•Duda, O., Hart, E y Stork, G. Pettern Classification; Wiley; 2012
•Ertel W; Introduction to artificial intelligence, Springer; 2017.
Chowdhary, R. Fundamentals of Artificial Intelligence; Springer; 2020
Russell, J, y Norving, P; Artificial intelligence A modern approach; Pearson Education; 2020
Aggarwall, C. Y Reddy, C; Data Clustering – Algorithms and application; CRC Press; 2021
Guojun, G. Chaoquin, M y Jianhong, W; data Clustering: Theory, Algorithms and applications; ASA-SIAM; 2007
Sivanandam, N. Y Deepa, N.Introduction to gnetic Algopritms; Springer; 2008

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