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Andrews curves Applied Machine Learning Bagging Boosting Business intelligence Chomsky normal form Class-imbalanced problems Classifier ensembles Cocke-Younger-Kasami algorithm Computer Science teaching Data analysis Data Mining Data visualization Decision trees Disturbing neighbors End of studies project Ensemble methods Ensembles Exploratory data analysis Exploratory projection pursuit Face milling Finite automata Imbalanced data Instance selection Linear projections LL parsing Machine learning Multi-label classification Neural networks Random forest Random oracles Regression Regression ensembles Regression trees Regular expressions Rotation forest Self organizing maps SMOTE Support vector machines surface roughness

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2008

García-Osorio, César; Mediavilla-Sáiz, Iñigo; Jimeno-Visitación, Javier; García-Pedrajas, Nicolás

Computer Science teaching push-down automata and turing machines Inproceedings

In: Proceedings of the 13th annual conference on Innovation and technology in computer science education (ITiCSE 2008), pp. 316–316, ACM, Madrid, Spain, 2008, ISBN: 978-1-60558-115-6.

Links | BibTeX | Tags: Computer Science teaching, Parsing algorithms, Push-down automata, Regular expressions, Turing machines

García-Osorio, César; Gómez-Palacios, Carlos; García-Pedrajas, Nicolás

A tool for teaching LL and LR parsing algorithms Inproceedings

In: Proceedings of the 13th annual conference on Innovation and technology in computer science education (ITiCSE 2008), pp. 317–317, ACM, Madrid, Spain, 2008, ISBN: 978-1-60558-115-6.

Links | BibTeX | Tags: Computer Science teaching, LL parsing, LR parsing, Parsing algorithms

García-Osorio, César; Gómez-Palacios, Carlos; Maudes-Raedo, Jesús; Rodríguez, Juan José

BURGRAM: Una herramienta interactiva para el estudio de los algoritmos de análisis sintáctico ascendente y descendente Inproceedings

In: Actas de las XIV Jornadas de Enseñanza Universitaria de Informática (JENUI 2008), pp. 427–634, Granada, 2008, ISBN: 978-84-612-4475-1.

BibTeX | Tags: Computer Science teaching, LL parsing, LR parsing, Parsing algorithms