Result 1 to 18 of 18 total
A bounded version of online boosting on open-ended data streams. (English)
Cuzzocrea, Alfredo (ed.) et al., Data warehousing and knowledge discovery. 13th international conference, DaWaK 2011, Toulouse, France, August 29 ‒ September 2, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23543-6/pbk). Lecture Notes in Computer Science 6862, 460-470 (2011).
1
Online evaluation of email streaming classifiers using GNUsmail. (English)
Gama, João (ed.) et al., Advances in intelligent data analysis X. 10th international symposium, IDA 2011, Porto, Portugal, October 29‒31, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24799-6/pbk). Lecture Notes in Computer Science 7014, 90-100 (2011).
2
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).
3
GNUsmail: open framework for on-line email classification. (English)
Coelho, Helder (ed.) et al., ECAI 2010. 19th European conference on artificial intelligence, August 16‒20, 2010 Lisbon, Portugal. Including proceedings of the 6th prestigious applications of artificial intelligence (PAIS-2010). Amsterdam: IOS Press (ISBN 978-1-60750-605-8/pbk; 978-1-60750-606-5/ebook). Frontiers in Artificial Intelligence and Applications 215, 1141-1142 (2010).
4
Mining interestingness measures for string pattern mining. (English)
García-Pedrajas, Nicolás (ed.) et al., Trends in applied intelligent systems. 23rd international conference on industrial engineering and other applications of applied intelligent systems, IEA/AIE 2010, Cordoba, Spain, June 1‒4, 2010. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-13021-2/pbk). Lecture Notes in Computer Science 6096. Lecture Notes in Artificial Intelligence, 560-569 (2010).
5
Computing a comprehensible model for spam filtering. (English)
Gama, João (ed.) et al., Discovery science. 12th international conference, DS 2009, Porto, Portugal, October 3‒5. 2009. Berlin: Springer (ISBN 978-3-642-04746-6/pbk). Lecture Notes in Computer Science 5808. Lecture Notes in Artificial Intelligence, 457-464 (2009).
6
Improving the performance of an incremental algorithm driven by error margins. (English)
Intell. Data Anal. 12, No. 3, 305-318 (2008).
7
How an ensemble method can compute a comprehensible model. (English)
Song, Il-Yeol (ed.) et al., Data warehousing and knowledge discovery. 10th international conference, DaWak 2008, Turin, Italy, September 2‒5, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-85835-5/pbk). Lecture Notes in Computer Science 5182, 368-378 (2008).
8
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).
9
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).
10
FE-CIDIM: fast ensemble of CIDIM classifiers. (English)
Int. J. Syst. Sci. 37, No. 13, 939-947 (2006).
11
Busy beaver function in LOOP. (English)
Bull. Eur. Assoc. Theor. Comput. Sci. EATCS 85, 165-178 (2005).
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
Using multiattribute prediction suffix graphs for Spanish part-of-speech tagging. (English)
Hoffmann, Frank (ed.) et al., Advances in intelligent data analysis. 4th international conference, IDA 2001, Cascais, Portugal, September 13-15, 2001. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 2189, 228-237 (2001).
14
On a class of fuzzy computable functions. (English)
Fuzzy Sets Syst. 121, No.3, 505-522 (2001).
15
Comparisons of Parikh’s condition to other conditions for context-free languages. (English)
Theor. Comput. Sci. 202, No.1-2, 231-244 (1998).
16
A family of fuzzy programming languages. (English)
Fuzzy Sets Syst. 87, No.2, 167-179 (1997).
17
An elementary fuzzy programming language. (English)
Fuzzy Sets Syst. 57, No. 1, 55-73 (1993).
18
Result 1 to 18 of 18 total
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