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ANNPR
2008
Springer
15 years 4 months ago
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Jean-François Connolly, Eric Granger, Rober...
COMPSAC
2008
IEEE
15 years 2 months ago
Superfit Combinational Elusive Bug Detection
Software that has been well tested and analyzed may fail unpredictably when a certain combination of conditions occurs. In Bounded Exhaustive Testing (BET) all combinations are te...
R. Barzin, S. Fukushima, William E. Howden, S. Sha...
104
Voted
ICPR
2002
IEEE
16 years 3 months ago
Comparative Study on Mirror Image Learning (MIL) and GLVQ
In this paper the effectiveness of a corrective learning algorithm MIL (Mirror Image Learning) [1], [2] is comparatively studied with that of GLVQ (Generalized Learning Vector Qua...
Meng Shi, Tetsushi Wakabayashi, Wataru Ohyama, Fum...
152
Voted
APSCC
2009
IEEE
15 years 9 months ago
SADI Semantic Web Services -- 'cause you can't always GET what you want!
SADI – Semantic Automated Discovery and Integration – is a set of standards-compliant Semantic Web Service design patterns that exploit the relatively straightforward interfac...
Mark D. Wilkinson, Benjamin P. Vandervalk, E. Luke...
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 8 months ago
Is negative selection appropriate for anomaly detection?
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...