{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:48:08Z","timestamp":1742989688894,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319993645"},{"type":"electronic","value":"9783319993652"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-319-99365-2_33","type":"book-chapter","created":{"date-parts":[[2018,8,11]],"date-time":"2018-08-11T09:15:03Z","timestamp":1533978903000},"page":"377-387","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dual Sum-Product Networks Autoencoding"],"prefix":"10.1007","author":[{"given":"Shengsheng","family":"Wang","sequence":"first","affiliation":[]},{"given":"Hang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jiayun","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Qiang-yuan","family":"Yu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,8,12]]},"reference":[{"key":"33_CR1","unstructured":"Choi, A., Darwiche, A.: On relaxing determinism in arithmetic circuits. In: Thirty-Fourth International Conference on Machine Learning, pp. 825\u2013833. ACM, Sydney (2017)"},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Poon, H., Domingos, P.: Sum-product networks: a new deep architecture. In: The 27th Conference on Uncertainty in Artificial Intelligence, pp. 337\u2013346. AUAI, Barcelona (2011)","DOI":"10.1109\/ICCVW.2011.6130310"},{"key":"33_CR3","doi-asserted-by":"crossref","unstructured":"Cheng, W., Kok, S., Pham, H.: Language modeling with sum-product networks. In: Fifteenth Annual Conference of the International Speech Communication Association, pp. 2098\u20132102. ISSN, Singapore (2014)","DOI":"10.21437\/Interspeech.2014-476"},{"issue":"4","key":"33_CR4","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1109\/TPAMI.2015.2465955","volume":"38","author":"MR Amer","year":"2016","unstructured":"Amer, M.R., Todorovic, S.: Sum product networks for activity recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(4), 800\u2013813 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Vergari, A., Peharz, R.: Sum-product autoencoding: encoding and decoding representations using sum-product networks. In: The Thirty-Second Conference on Artificial Intelligence. AAAI, New Orleans (2018)","DOI":"10.1609\/aaai.v32i1.11734"},{"key":"33_CR6","unstructured":"He, D., Xia, Y., Qin, T., et al.: Dual learning for machine translation. In: The Thirtieth Annual Conference on Neural Information Processing Systems, pp. 820\u2013828. MIT Press, Barcelona (2016)"},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Yi, Z., Zhang, H., Tan, P., et al.: DualGAN: unsupervised dual learning for image-to-image translation. In: International Conference on Computer Vision, pp. 2868\u20132876. IEEE, Venice (2017)","DOI":"10.1109\/ICCV.2017.310"},{"key":"33_CR8","unstructured":"Gens, R., Pedro, D.: Learning the structure of sum-product networks. In: 30th International Conference on Machine Learning, pp. 873\u2013880. ACM, Atlanta (2013)"},{"key":"33_CR9","unstructured":"Gens, R., Domingos, P.: Discriminative learning of sum-product networks, In: 26th Advances in Neural Information Processing Systems, pp. 3239\u20133247. MIT Press, Lake Tahoe (2012)"},{"key":"33_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1007\/978-3-319-23525-7_21","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"A Vergari","year":"2015","unstructured":"Vergari, A., Di Mauro, N., Esposito, F.: Simplifying, regularizing and strengthening sum-product network structure learning. In: Appice, A., Rodrigues, P.P., Santos Costa, V., Gama, J., Jorge, A., Soares, C. (eds.) ECML PKDD 2015. LNCS, vol. 9285, pp. 343\u2013358. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-23525-7_21"},{"key":"33_CR11","unstructured":"Kingma, D., Adam, J.B.: A method for stochastic optimization. Comput. Sci. (2014)"},{"key":"33_CR12","doi-asserted-by":"crossref","unstructured":"Finley, T., Joachims, T.: Training structural SVMs when exact inference is intractable. In: International Conference on Machine Learning, pp. 304\u2013311. ACM, Helsinki (2008)","DOI":"10.1145\/1390156.1390195"},{"key":"33_CR13","unstructured":"Germain, M., Gregor, K., Murray, I., et al.: MADE: masked autoencoder for distribution estimation. In: The 32nd International Conference on Machine Learning, pp. 881\u2013889. ACM, Lille (2015)"},{"key":"33_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1007\/978-3-319-31753-3_27","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"J Wicker","year":"2016","unstructured":"Wicker, J., Tyukin, A., Kramer, S.: A nonlinear label compression and transformation method for multi-label classification using autoencoders. In: Bailey, J., Khan, L., Washio, T., Dobbie, G., Huang, J.Z., Wang, R. (eds.) PAKDD 2016. LNCS, vol. 9651, pp. 328\u2013340. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-31753-3_27"},{"key":"33_CR15","doi-asserted-by":"crossref","unstructured":"Ueda, N., Saito, K.: Single-shot detection of multiple categories of text using parametric mixture models. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 626\u2013631. ACM, Alberta (2001)","DOI":"10.1145\/775047.775140"},{"key":"33_CR16","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1016\/j.ins.2015.10.032","volume":"330","author":"A Cano","year":"2016","unstructured":"Cano, A., Luna, J.M., Gibaja, E.L.: LAIM discretization for multi-label data. Inf. Sci. 330, 370\u2013384 (2016)","journal-title":"Inf. Sci."}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99365-2_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:38:39Z","timestamp":1709833119000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-99365-2_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319993645","9783319993652"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99365-2_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"12 August 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Changchun","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ksem2018.venue.link\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"262","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":"62","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":"26","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":"24% - 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":"3.1","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":"10","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)"}},{"value":"We have 3 reviews for 235 submissions, 4 reviews for 25 submissions and 5 review for 2 submissions.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}