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Titlebook: Learning Classifier Systems; 5th International Wo Pier Luca Lanzi,Wolfgang Stolzmann,Stewart W. Wils Conference proceedings 2003 Springer-V

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21#
發(fā)表于 2025-3-25 06:19:17 | 只看該作者
William N. L. Browneew developments, such as imaging contrast agents and virtualThepastdecadehasseendramaticadvances inurologyandimaging. Thesechangesareevident in improvements in laparoscopic surgery as well as in the emergence of multidetector CT, with multiplanar reformatting and FDG-PET-CT as routine imaging method
22#
發(fā)表于 2025-3-25 08:43:59 | 只看該作者
Phillip William Dixon,Dawid Wolfe Corne,Martin John Oatesew developments, such as imaging contrast agents and virtualThepastdecadehasseendramaticadvances inurologyandimaging. Thesechangesareevident in improvements in laparoscopic surgery as well as in the emergence of multidetector CT, with multiplanar reformatting and FDG-PET-CT as routine imaging method
23#
發(fā)表于 2025-3-25 12:27:43 | 只看該作者
Gilles Enée,Pierre Barbarouxf multidetector CT, with multiplanar reformatting and FDG-PET-CT as routine imaging methods. The new minimally invasive procedures often require more exacting imaging as the surgeon does not have the same visual ?eld of view as was possible with open procedures. Thus, it is appropriate now to p- vid
24#
發(fā)表于 2025-3-25 19:35:03 | 只看該作者
John H. Holmes,Warren B. Bilkerf multidetector CT, with multiplanar reformatting and FDG-PET-CT as routine imaging methods. The new minimally invasive procedures often require more exacting imaging as the surgeon does not have the same visual ?eld of view as was possible with open procedures. Thus, it is appropriate now to p- vid
25#
發(fā)表于 2025-3-25 23:51:27 | 只看該作者
26#
發(fā)表于 2025-3-26 04:12:58 | 只看該作者
27#
發(fā)表于 2025-3-26 06:54:02 | 只看該作者
28#
發(fā)表于 2025-3-26 12:17:51 | 只看該作者
Balancing Specificity and Generality in a Panmictic-Based Rule-Discovery Learning Classifier Systemommon data properties found in industry. Interestingly, it considers a different strategy to XCS type systems, with the rule discovery being based panmictically. In order to show the worth of the iLCS approach, the benchmark data-mining application of the Wisconsin Breast Cancer dataset was investig
29#
發(fā)表于 2025-3-26 15:15:51 | 只看該作者
30#
發(fā)表于 2025-3-26 17:45:12 | 只看該作者
Adapted Pittsburgh-Style Classifier-System: Case-Study,ere introduced by Smith during the early 80’s and was nearly forgotten during 20 years. We revisit those kind of classifiers adapting them. We choose as background of our study the ‘El Farol’ bar problem introduced by Arthur. This multi-agents system problem leads us to test several abilities as mem
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