{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T22:09:45Z","timestamp":1775513385508,"version":"3.50.1"},"reference-count":13,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2014,9,20]],"date-time":"2014-09-20T00:00:00Z","timestamp":1411171200000},"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":["Artif Life Robotics"],"published-print":{"date-parts":[[2014,11]]},"DOI":"10.1007\/s10015-014-0161-1","type":"journal-article","created":{"date-parts":[[2014,9,19]],"date-time":"2014-09-19T10:33:04Z","timestamp":1411122784000},"page":"220-226","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Adaptive LSH based on the particle swarm method with the attractor selection model for fast approximation of Gaussian process regression"],"prefix":"10.1007","volume":"19","author":[{"given":"Yuya","family":"Okadome","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenji","family":"Urai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yutaka","family":"Nakamura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tetsuya","family":"Yomo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroshi","family":"Ishiguro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,9,20]]},"reference":[{"key":"161_CR1","volume-title":"Gaussian processes for machine learning","author":"CE Rasmussen","year":"2006","unstructured":"Rasmussen CE, Williams CKI (2006) Gaussian processes for machine learning. The MIT Press, Cambridge"},{"key":"161_CR2","unstructured":"Snelson E, Ghahramani Z (2005) Sparse gaussian processes using pseudo-inputs. In: Advances in neural information processing systems 18. MIT press, pp 1257\u20131264"},{"key":"161_CR3","first-page":"1939","volume":"6","author":"J Quinonero-Candela","year":"2005","unstructured":"Quinonero-Candela J, Rasmussen CE (2005) A unifying view of sparse approximate Gaussian process regression. J Mach Learn Res 6:1939\u20131959","journal-title":"J Mach Learn Res"},{"key":"161_CR4","first-page":"2008","volume":"22","author":"D Nguyen-tuong","year":"2008","unstructured":"Nguyen-tuong D, Peters J (2008) Local gaussian process regression for real time online model learning and control. Adv Neural Inf Process Syst 22:2008","journal-title":"Adv Neural Inf Process Syst"},{"key":"161_CR5","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1007\/s10514-009-9119-x","volume":"27","author":"J Ko","year":"2009","unstructured":"Ko J, Fox D (2009) GP-bayesfilters: Bayesian filtering using gaussian process prediction and observation models. Auton Robots 27:75\u201390","journal-title":"Auton Robots"},{"key":"161_CR6","doi-asserted-by":"crossref","unstructured":"Indyk P, Motwani R (1998) Approximate nearest neighbors: towards removing the curse of dimensionality. In: Proceedings of the thirtieth annual ACM symposium on Theory of computing, pp 604\u2013613","DOI":"10.1145\/276698.276876"},{"key":"161_CR7","doi-asserted-by":"crossref","unstructured":"Okadome Y, Nakamura Y, Shikauchi Y, et al. (2013) Fast approximation method for Gaussian process regression using hash function for non-uniformly distributed data. In: Artificial Neural Networks and Machine Learning, pp 17\u201325","DOI":"10.1007\/978-3-642-40728-4_3"},{"key":"161_CR8","doi-asserted-by":"crossref","unstructured":"Achlioptas D, Database-friendly random projections (2001) In: Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, pp 274\u2013281","DOI":"10.1145\/375551.375608"},{"key":"161_CR9","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. IEEE international conference on neural networks, pp 1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"1","key":"161_CR10","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1007\/s11721-007-0002-0","volume":"1","author":"R Poli","year":"2007","unstructured":"Poli R, Kennedy J, Blackwell T (2007) Particle swarm optimization. Swarm Intell 1(1):33\u201357","journal-title":"Swarm Intell"},{"key":"161_CR11","doi-asserted-by":"crossref","unstructured":"Kashiwagi A, Urabe I, Kaneko K et al. (2006) Adaptive response of a gene network to environmental changes by fitness-induced attractor selection. PLoS One 1(1):e49, 12","DOI":"10.1371\/journal.pone.0000049"},{"issue":"3","key":"161_CR12","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/j.biosystems.2006.08.012","volume":"88","author":"T Yanagida","year":"2007","unstructured":"Yanagida T, Ueda M, Murata T et al (2007) Brownian motion, fluctuation and life. Biosystems 88(3):228\u2013242","journal-title":"Biosystems"},{"key":"161_CR13","doi-asserted-by":"crossref","unstructured":"Fukuyori I, Nakamura Y, Matsumoto Y et al (2008) Flexible control mechanism for multi-dof robotic arm based on biological fluctuation. In: From animals to animats 10, Lecture Notes in Computer Science, vol 5040, pp 22\u201331","DOI":"10.1007\/978-3-540-69134-1_3"}],"container-title":["Artificial Life and Robotics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10015-014-0161-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10015-014-0161-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10015-014-0161-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,15]],"date-time":"2019-08-15T05:14:59Z","timestamp":1565846099000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10015-014-0161-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,9,20]]},"references-count":13,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2014,11]]}},"alternative-id":["161"],"URL":"https:\/\/doi.org\/10.1007\/s10015-014-0161-1","relation":{},"ISSN":["1433-5298","1614-7456"],"issn-type":[{"value":"1433-5298","type":"print"},{"value":"1614-7456","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,9,20]]}}}