Export 7 results:
Author Title Type [ Year] Filters: Keyword is Learning systems [Clear All Filters]
Monitoring incremental histogram distribution for change detection in data streams. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 5840 LNCS, pp. 25 - 42).
(2010). Chromatographic pattern recognition using optimized one-class classifiers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 5524 LNCS, pp. 449 - 456).
(2009). Minimizing the imbalance problem in chromatographic profile classification with one-class classifiers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 5112 LNCS, pp. 413 - 422).
(2008). Modular neural network task decomposition via entropic clustering. In Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and ApplicationsProc. ISDA Sixth Int. Conf. Intelligent Syst. Design Applic. (Vol. 1, pp. 62 - 67).
(2006). Neural network classification: Maximizing zero-error density. In , Lecture Notes in Computer ScienceLect. Notes Comput. Sci. (Vol. 3686, pp. 127 - 135).
(2005). Neural networks trained with the EEM algorithm: Tuning the smoothing parameter. WSEAS Transactions on SystemsWSEAS Trans. Syst., 4(4), 295 - 299.
(2005). An electronic instrumentation course for non-electronic engineering students. International Journal of Electrical Engineering EducationInt J Electr Eng Educ, 41(1), 43 - 55.
(2004).