Result 1 to 18 of 18 total
Studying the hybridization of artificial neural networks in HECIC. (English)
Cabestany, Joan (ed.) et al., Advances in computational intelligence. 11th international work-conference on artificial neural networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8‒10, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-21497-4/pbk). Lecture Notes in Computer Science 6692, 137-144 (2011).
1
Improving the MLP learning by using a method to calculate the initial weights of the network based on the quality of similarity measure (English)
MICAI (2), 351-362 (2011).
2
Studying the hybridization of artificial neural networks in HECIC (English)
IWANN (2), 137-144 (2011).
3
Clasificadores y multiclasificadores con cambio de concepto basados en árboles de decisión (English)
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 14, No. 45, 32-43 (2010).
4
Hybridizing ensemble classifiers with individual classifiers (English)
ISDA, 199-202 (2009).
5
Improving the performance of an incremental algorithm driven by error margins. (English)
Intell. Data Anal. 12, No. 3, 305-318 (2008).
6
Incremental learning with multiple classifier systems using correction filters for classification. (English)
Berthold, Michael R. (ed.) et al., Advances in intelligent data analysis VII. 7th international symposium on intelligent data analysis, IDA 2007, Ljubljana, Slovenia, September 6‒8, 2007. Proceedings. Berlin: Springer (ISBN 978-3-540-74824-3/pbk). Lecture Notes in Computer Science 4723, 106-117 (2007).
7
Incremental learning with multiple classifier systems using correction filters for classification (English)
IDA, 106-117 (2007).
8
Incremental algorithm driven by error margins. (English)
Todorovski, Ljupčo (ed.) et al., Discovery science. 9th international conference, DS 2006, Barcelona, Spain, October 7‒10, 2006. Proceedings. Berlin: Springer (ISBN 978-3-540-46491-4/pbk). Lecture Notes in Computer Science 4265. Lecture Notes in Artificial Intelligence, 358-362 (2006).
9
FE-CIDIM: fast ensemble of CIDIM classifiers. (English)
Int. J. Syst. Sci. 37, No. 13, 939-947 (2006).
10
Multiple classifier systems and layered learning based on CIDIM (English)
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 10, No. 29, 49-58 (2006).
11
Incremental algorithm driven by error margins (English)
Discovery Science, 358-362 (2006).
12
ML-CIDIM: Multiple layers of multiple classifier systems based on CIDIM. (English)
Ślȩzak, Dominik (ed.) et al., Rough sets, fuzzy sets, data mining, and granular computing. 10th international conference, RSFDGrC 2005, Regina, Canada, August 31 ‒ September 3, 2005. Proceedings, Part II. Berlin: Springer (ISBN 3-540-28660-8/pbk). Lecture Notes in Computer Science 3642. Lecture Notes in Artificial Intelligence, 138-146 (2005).
13
ML-CIDIM: multiple layers of multiple classifier systems based on CIDIM (English)
RSFDGrC (2), 138-146 (2005).
14
E-CIDIM: ensemble of CIDIM classifiers (English)
ADMA, 108-117 (2005).
15
Induction of decision trees using an internal control of induction (English)
IWANN, 795-803 (2005).
16
A combined neural network and decision trees model for prognosis of breast cancer relapse. (English)
Artif. Intell. Med. 27, No. 1, 45-63 (2003).
17
Comparisons of Parikh’s condition to other conditions for context-free languages. (English)
Theor. Comput. Sci. 202, No.1-2, 231-244 (1998).
18
Result 1 to 18 of 18 total
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