{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T04:50:54Z","timestamp":1725857454660},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319401584"},{"type":"electronic","value":"9783319401591"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-40159-1_19","type":"book-chapter","created":{"date-parts":[[2016,6,6]],"date-time":"2016-06-06T12:40:38Z","timestamp":1465216838000},"page":"225-236","source":"Crossref","is-referenced-by-count":0,"title":["Forgetting Methods for White Box Learning"],"prefix":"10.1007","author":[{"given":"Anthony","family":"D\u2019Amato","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthieu","family":"Boussard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,6,7]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Raw air temperature at Murdoch, Australia, 11\/01\/13 to 11\/01\/15. http:\/\/wwwmet.murdoch.edu.au (accessed: 2015-11-01)","DOI":"10.4414\/pc-f.2015.00854"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Bifet, A.: Adaptive Learning and Mining for Data Streams and Frequent Patterns. PhD thesis, Universitat Politecnica de Catalunya (2009)","DOI":"10.1145\/1656274.1656287"},{"key":"19_CR3","volume-title":"Classification and Regression Trees","author":"L Breiman","year":"1984","unstructured":"Breiman, L., Friedman, J., Olshen, R., Stone, C.: Classification and Regression Trees. Wadsworth and Brooks, Monterey (1984)"},{"key":"19_CR4","unstructured":"Champandard, A.: Understanding behavior tree. http:\/\/aigamedev.com\/open\/article\/bt-overview\/ (accessed: 2015-09)"},{"key":"19_CR5","doi-asserted-by":"crossref","unstructured":"Dang, X.H., Lee, V.C., Ng, W.K., Ong, K.L.: Incremental and adaptive clustering stream data over sliding window. In: Proceedings of the 20th International Conference on Database and Expert Systems Applications, DEXA 2009, pp. 660\u2013674. Springer-Verlag, Heidelberg (2009)","DOI":"10.1007\/978-3-642-03573-9_55"},{"key":"19_CR6","unstructured":"de Pontes Pereira, R., Engel, P.M.: A framework for constrained and adaptive behavior-based agents. CoRR, abs\/1506.02312 (2015)"},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Dey, R., Child, C.: Ql-bt: Enhancing behaviour tree design and implementation with q-learning. In: CIG, pp. 1\u20138. IEEE (2013)","DOI":"10.1109\/CIG.2013.6633623"},{"key":"19_CR8","unstructured":"Erler, P.: Decision-making in cosmonautica. http:\/\/www.makinggames.biz\/news\/decision-making-in-cosmonautica,6020.html (accessed: 2016-01)"},{"key":"19_CR9","first-page":"2677","volume":"9","author":"S Garcia","year":"2008","unstructured":"Garcia, S., Herrera, F.: An extension on \"statistical comparisons of classifiers over multiple data sets\" for all pairwise comparisons. Journal of Machine Learning Research 9, 2677\u20132694 (2008)","journal-title":"Journal of Machine Learning Research"},{"key":"19_CR10","unstructured":"Isla, D.: Handling complexity in the Halo 2 AI. GDC (2005)"},{"issue":"1","key":"19_CR11","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/BF00155578","volume":"6","author":"JL Kolodner","year":"1992","unstructured":"Kolodner, J.L.: An introduction to Case-Based reasoning. Artif. Intell. Rev. 6(1), 3\u201334 (1992)","journal-title":"Artif. Intell. Rev."},{"issue":"1","key":"19_CR12","first-page":"81","volume":"1","author":"JR Quinlan","year":"1986","unstructured":"Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1(1), 81\u2013106 (1986)","journal-title":"Mach. Learn."},{"key":"19_CR13","volume-title":"C4.5: Programs for Machine Learning","author":"JR Quinlan","year":"1993","unstructured":"Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers Inc., San Francisco (1993)"},{"key":"19_CR14","unstructured":"Schapire, R.E.: A brief introduction to boosting. In: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI 1999, pp. 1401\u20131406. Morgan Kaufmann Publishers Inc., San Francisco (1999)"},{"issue":"1","key":"19_CR15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10115-007-0114-2","volume":"14","author":"X Wu","year":"2007","unstructured":"Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G.J., Ng, A., Liu, B., Yu, P.S., Zhou, Z.-H., Steinbach, M., Hand, D.J., Steinberg, D.: Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1), 1\u201337 (2007)","journal-title":"Knowl. Inf. Syst."}],"container-title":["Advances in Intelligent Systems and Computing","Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-40159-1_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,9]],"date-time":"2019-09-09T08:55:41Z","timestamp":1568019341000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-40159-1_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319401584","9783319401591"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-40159-1_19","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2016]]}}}