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...
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...
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...
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...
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...