{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T13:05:00Z","timestamp":1726059900673},"publisher-location":"Singapore","reference-count":14,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811516986"},{"type":"electronic","value":"9789811516993"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-981-15-1699-3_2","type":"book-chapter","created":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T01:23:22Z","timestamp":1574385802000},"page":"16-27","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Learning Approach for Ill-Posed Optimisation Problems"],"prefix":"10.1007","author":[{"given":"J\u00f6rg","family":"Frochte","sequence":"first","affiliation":[]},{"given":"Stephen","family":"Marsland","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,11,23]]},"reference":[{"key":"2_CR1","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/j.neucom.2003.10.012","volume":"57","author":"RK Brouwer","year":"2004","unstructured":"Brouwer, R.K.: Feed-forward neural network for one-to-many mappings using fuzzy sets. Neurocomputing 57, 345\u2013360 (2004)","journal-title":"Neurocomputing"},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Butterfield, J., Osentoski, S., Jay, G., Jenkins, O.C.: Learning from demonstration using a multi-valued function regressor for time-series data. In: 2010 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids), pp. 328\u2013333. IEEE (2010)","DOI":"10.1109\/ICHR.2010.5686284"},{"issue":"11","key":"2_CR3","doi-asserted-by":"publisher","first-page":"3044","DOI":"10.1162\/NECO_a_00510","volume":"25","author":"B Damas","year":"2013","unstructured":"Damas, B., Santos-Victor, J.: Online learning of single-and multivalued functions with an infinite mixture of linear experts. Neural Comput. 25(11), 3044\u20133091 (2013)","journal-title":"Neural Comput."},{"key":"2_CR4","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, pp. 226\u2013231 (1996)"},{"issue":"5","key":"2_CR5","doi-asserted-by":"publisher","first-page":"1006","DOI":"10.1137\/0222062","volume":"22","author":"SA Goldman","year":"1993","unstructured":"Goldman, S.A., Rivest, R.L., Schapire, R.E.: Learning binary relations and total orders. SIAM J. Comput. 22(5), 1006\u20131034 (1993)","journal-title":"SIAM J. Comput."},{"key":"2_CR6","series-title":"Perspectives in Neural Computing","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/978-1-4471-1599-1_75","volume-title":"ICANN 98","author":"K Hahn","year":"1998","unstructured":"Hahn, K., Waschulzik, T.: On the use of local RBF networks to approximate multivalued functions and relations. In: Niklasson, L., Bod\u00e9n, M., Ziemke, T. (eds.) ICANN 1998. PNC, pp. 505\u2013510. Springer, London (1998). \nhttps:\/\/doi.org\/10.1007\/978-1-4471-1599-1_75"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Hecht-Nielsen, R.: Theory of the backpropagation neural network. In: Neural Networks for Perception, pp. 65\u201393. Elsevier (1992)","DOI":"10.1016\/B978-0-12-741252-8.50010-8"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Kilp, M., Knauer, U., Mikhalev, A.: Monoids, Acts and Categories, With Applications to Wreath Products and Graphs. de Gruyter (2000)","DOI":"10.1515\/9783110812909"},{"key":"2_CR9","unstructured":"Lee, K.W., Lee, T.: Design of neural networks for multi-value regression. In: 2001 Proceedings of International Joint Conference on Neural Networks, IJCNN 2001, vol. 1, pp. 93\u201398. IEEE (2001)"},{"key":"2_CR10","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"issue":"9","key":"2_CR11","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1002\/ecjc.4430790910","volume":"79","author":"Masahiko Shizawa","year":"1996","unstructured":"Shizawa, M.: Multivalued regularization network-a theory of multilayer networks for learning many-to-h mappings. Electron. Commun. Jpn. (Part III: Fundam. Electron. Sci.) 79(9), 98\u2013113 (1996)","journal-title":"Electronics and Communications in Japan (Part III: Fundamental Electronic Science)"},{"issue":"4","key":"2_CR12","doi-asserted-by":"publisher","first-page":"589","DOI":"10.1016\/S0893-6080(05)80037-1","volume":"5","author":"HJ Sussmann","year":"1992","unstructured":"Sussmann, H.J.: Uniqueness of the weights for minimal feedforward nets with a given input-output map. Neural Netw. 5(4), 589\u2013593 (1992)","journal-title":"Neural Netw."},{"key":"2_CR13","unstructured":"Tomikawa, Y., Nakayama, K.: Approximating many valued mappings using a recurrent neural network. In: Proceedings of the 1998 IEEE International Joint Conference on Neural Networks, IEEE World Congress on Computational Intelligence, vol. 2, pp. 1494\u20131497. IEEE (1998)"},{"key":"2_CR14","unstructured":"Wong, C., Houlsby, N., Lu, Y., Gesmundo, A.: Transfer learning with neural AutoML. In: Advances in Neural Information Processing Systems, pp. 8356\u20138365 (2018)"}],"container-title":["Communications in Computer and Information Science","Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-1699-3_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T01:24:17Z","timestamp":1574385857000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-1699-3_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9789811516986","9789811516993"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-1699-3_2","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AusDM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Conference on Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Adelaide, SA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ausdm2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/nugget.unisa.edu.au\/AusDM2019","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"56","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"20","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"-","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}