EP2079040 - An improved stacking schema for classification tasks [Right-click to bookmark this link] | Status | The application is deemed to be withdrawn Status updated on 25.06.2010 Database last updated on 31.08.2024 | Most recent event Tooltip | 25.06.2010 | Application deemed to be withdrawn | published on 28.07.2010 [2010/30] | Applicant(s) | For all designated states Deutsche Telekom AG Friedrich-Ebert-Allee 140 53113 Bonn / DE | [2009/29] | Inventor(s) | 01 /
Menahem, Eitan 4 Haetrog Street Hadera 38244 / IL | 02 /
Rokach, Lior 1 Tamar Street Omer 84965 / IL | 03 /
Elovici, Yuval 17 Arugot Street Moshav Arugot 79864 / IL | [2009/29] | Representative(s) | Flaccus, Rolf-Dieter Flaccus Müller-Wolff Patentanwälte Bussardweg 10 50389 Wesseling / DE | [N/P] |
Former [2009/29] | Flaccus, Rolf-Dieter Flaccus Müller-Wolff Patentanwälte Bussardweg 10 50389 Wesseling / DE | Application number, filing date | 09000173.6 | 08.01.2009 | [2009/29] | Priority number, date | IL20080188726 | 10.01.2008 Original published format: IL 18872608 | [2009/29] | Filing language | EN | Procedural language | EN | Publication | Type: | A1 Application with search report | No.: | EP2079040 | Date: | 15.07.2009 | Language: | EN | [2009/29] | Search report(s) | (Supplementary) European search report - dispatched on: | EP | 17.03.2009 | Classification | IPC: | G06K9/68 | [2009/29] | CPC: |
G06N5/043 (EP,US);
G06F18/254 (EP,US);
G06N20/00 (EP,US);
G06N20/20 (EP,US)
| Designated contracting states | (deleted) [2010/12] |
Former [2009/29] | AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, SE, SI, SK, TR | Title | German: | Verbessertes Stapelschema für Klassifizierungsaufgaben | [2009/29] | English: | An improved stacking schema for classification tasks | [2009/29] | French: | Schéma d'empilement amélioré pour les tâches de classification | [2009/29] | Examination procedure | 16.01.2010 | Application deemed to be withdrawn, date of legal effect [2010/30] | 05.03.2010 | Despatch of communication that the application is deemed to be withdrawn, reason: examination fee not paid in time [2010/30] |
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court. | Documents cited: | Search | [ ] - No Search | by applicant | US153184 | - QUINLAN, R., "Programs for Machine Learning", MACHINE LEARNING, (1993), pages 235 - 240 | - "A training algorithm for optimal margin cxassifiers", BOSER, B.E.; GUYON, I.M.; VAPNIK, V.N., 5th Annual ACM, ACM PRESS, (1992), pages 144 - 152 | - DZEROSKI S.; ZENKO B., "Is Combining Classifiers with Stacking Better than Selecting the Best One?", MACHINE LEARNING, (2004), vol. 54, no. 3, pages 255 - 273 | - TING, K. M.; WITTEN, I. H., "Issues in stacked generalization", JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, (1999), vol. 10, pages 271 - 289 | - "How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness", SEEWALD, A., Nineteenth International Conference on Machine Learning, SYDNEY: MORGAN KAUFMANN PUBLISHERS, (2002), pages 554 - 561 | - "An Evaluation of Grading Classifiers", SEEWALD A.K.; J. FUERNKRANZ., Advances in Intelligent Data Analysis: 4th International Conference, SPRINGER, (2001), pages 115 - 124 | - BREIMAN, L., "Bagging predictors", MACHINE LEARNING, (1996), pages 123 - 140 | - WOLPERT, D., "Stacked Generalization", NEURAL NETWORKS, (1992), vol. 5, pages 241 - 259 | - "A training algorithm for optimal margin classifiers", BOSER,BE.; GUYON,L.M.; VAPNIK,VN., Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory, ACM PRESS, (1992), pages 144 - 152 | - DZEROSKI S.; ZENKO B., "Combining Classifiers with Stacking Better than Selecting the Best One?", MACHINE LEARNING, (2004), vol. 54, no. 3, pages 255 - 273 | - TING, K. M.; WITTEN, I- H., "Issues in stacked generalization", JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, (1999), vol. 10, pages 271 - 289 | - FUMKRANZ, J., "Pairwise Classification as an Ensemble Technique", EUROPEAN CONFERENCE ON MACHINE LEARNING, (2002), pages 97 - 110 | - ANAND R ET AL., "Efficient classification for multiclass problems using modular neural networks", IEEE TRANS NEURAL NETWORKS, (1995), vol. 6, no. 1, pages 117 - 125 | - LU B.L.; ITO M., "Task Decomposition and Module Combination Based on Class Relations: A Modular Neural Network for Pattern Classification", IEEE TRANS. ON NEURAL NETWORKS, (1999), vol. 10, no. 5, pages 1244 - 1256 | - DIETTERICH, T. G.; GHULUM BAKIRI, "Solving multiclass learning problems via error-correcting output codes", JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, (1995), vol. 2, pages 263 - 286 | - SIVALINGAM D.; PANDIAN N.; BEN-ARIE J, "Minimal Classification Method With Error-Correcting Codes For Multiclass Recognition", INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, (2005), vol. 19, no. 5, pages 663 - 680 | - ZHOUA J.; PENGB H.; SUENC C., "Data-driven decomposition for multi-class classification", PATTERN RECOGNITION, (2008), vol. 41, pages 67 - 76 | - DEMSAR J., "Statistical comparisons of classifiers over multiple data sets", J. MACH. LEARN. RES., (2006), vol. 7, pages 1 - 30 |