{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T19:29:31Z","timestamp":1781551771063,"version":"3.54.5"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030368074","type":"print"},{"value":"9783030368081","type":"electronic"}],"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\/978-3-030-36808-1_31","type":"book-chapter","created":{"date-parts":[[2019,12,6]],"date-time":"2019-12-06T15:04:08Z","timestamp":1575644648000},"page":"287-295","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":59,"title":["Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning"],"prefix":"10.1007","author":[{"given":"Xiang","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaocong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lina","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang","family":"Ge","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manqing","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,12,5]]},"reference":[{"key":"31_CR1","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/978-1-4939-1384-8_10","volume-title":"Handbook of Simulation Optimization","author":"S Andrad\u00f3ttir","year":"2015","unstructured":"Andrad\u00f3ttir, S.: A review of random search methods. In: Fu, M. (ed.) Handbook of Simulation Optimization, pp. 277\u2013292. Springer, New York (2015). https:\/\/doi.org\/10.1007\/978-1-4939-1384-8_10"},{"key":"31_CR2","unstructured":"Bergstra, J.S., Bardenet, R., Bengio, Y., K\u00e9gl, B.: Algorithms for hyper-parameter optimization. In: NeurIPS 24, pp. 2546\u20132554 (2011)"},{"key":"31_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1007\/978-3-319-09584-4_25","volume-title":"Learning and Intelligent Optimization","author":"R Calandra","year":"2014","unstructured":"Calandra, R., Gopalan, N., Seyfarth, A., Peters, J., Deisenroth, M.P.: Bayesian gait optimization for bipedal locomotion. In: Pardalos, P.M., Resende, M.G.C., Vogiatzis, C., Walteros, J.L. (eds.) LION 2014. LNCS, vol. 8426, pp. 274\u2013290. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-09584-4_25"},{"key":"31_CR4","doi-asserted-by":"crossref","unstructured":"Fida, B., Bibbo, D., Bernabucci, I., et al.: Real time event-based segmentation to classify locomotion activities through a single inertial sensor. In: MobiHealth, pp. 104\u2013107 (2015)","DOI":"10.4108\/eai.14-10-2015.2261695"},{"issue":"9","key":"31_CR5","first-page":"911","volume":"34","author":"S Mahapatra","year":"2007","unstructured":"Mahapatra, S., Patnaik, A.: Optimization of wire electrical discharge machining (wedm) process parameters using taguchi method. IJAMT 34(9), 911\u2013925 (2007)","journal-title":"IJAMT"},{"issue":"4","key":"31_CR6","doi-asserted-by":"publisher","first-page":"1379","DOI":"10.1016\/j.matdes.2006.01.008","volume":"28","author":"M Nalbant","year":"2007","unstructured":"Nalbant, M., G\u00f6kkaya, H., Sur, G.: Application of taguchi method in the optimization of cutting parameters for surface roughness in turning. Mater. Des. 28(4), 1379\u20131385 (2007)","journal-title":"Mater. Des."},{"key":"31_CR7","unstructured":"Snoek, J., Larochelle, H., Adams, R.P.: Practical Bayesian optimization of machine learning algorithms. In: NeurIPS 25, pp. 2951\u20132959. Curran Associates, Inc. (2012)"},{"key":"31_CR8","unstructured":"Taguchi, G., Taguchi, G.: System of experimental design; engineering methods to optimize quality and minimize costs. Technical report (1987)"},{"issue":"2","key":"31_CR9","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1109\/TMC.2017.2706282","volume":"17","author":"L Yao","year":"2017","unstructured":"Yao, L., et al.: Compressive representation for device-free activity recognition with passive RFID signal strength. IEEE Trans. Mob. Comput. 17(2), 293\u2013306 (2017)","journal-title":"IEEE Trans. Mob. Comput."},{"key":"31_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"748","DOI":"10.1007\/978-3-319-70096-0_76","volume-title":"Neural Information Processing","author":"X Zhang","year":"2017","unstructured":"Zhang, X., Yao, L., Huang, C., Sheng, Q.Z., Wang, X.: Intent recognition in smart living through deep recurrent neural networks. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, E.S. (eds.) ICONIP 2017. LNCS, vol. 10635, pp. 748\u2013758. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-70096-0_76"},{"key":"31_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, X., Yao, L., Sheng, Q.Z., Kanhere, S.S., Gu, T., Zhang, D.: Converting your thoughts to texts: enabling brain typing via deep feature learning of EEG signals. In: PerCom 2018. IEEE (2018)","DOI":"10.1109\/PERCOM.2018.8444575"},{"key":"31_CR12","unstructured":"Zhang, X., Yao, L., Wang, X., Monaghan, J., Mcalpine, D., Zhang, Y.: A survey on deep learning based brain computer interface: Recent advances and new frontiers. arXiv preprint arXiv:1905.04149 (2019)"}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-36808-1_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:23:31Z","timestamp":1710249811000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-36808-1_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030368074","9783030368081"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-36808-1_31","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"5 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","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":"12 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ajiips.com.au\/iconip2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}