{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T08:40:22Z","timestamp":1719304822881},"reference-count":34,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2017,7,6]],"date-time":"2017-07-06T00:00:00Z","timestamp":1499299200000},"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":["Neural Process Lett"],"DOI":"10.1007\/s11063-017-9663-x","type":"journal-article","created":{"date-parts":[[2017,7,6]],"date-time":"2017-07-06T09:51:52Z","timestamp":1499334712000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Parallel Bayesian ARTMAP and Its OpenCL Implementation"],"prefix":"10.1007","author":[{"given":"Istv\u00e1n","family":"L\u0151rentz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R\u0103zvan","family":"Andonie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucian M.","family":"Sasu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,6]]},"reference":[{"key":"9663_CR1","doi-asserted-by":"crossref","unstructured":"Andonie R, Fabry-Asztalos L, Sasu L (2014) Bayesian ARTMAP prediction of biological activities for potential HIV-1 protease inhibitors using a small molecular dataset. In: Proceedings of the IEEE symposium on computational intelligence and computational biology (CIBCB 2014) Honolulu, HI, pp 1\u20138 (2014)","DOI":"10.1109\/CIBCB.2014.6845505"},{"key":"9663_CR2","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1109\/TNN.2006.875988","volume":"17","author":"R Andonie","year":"2006","unstructured":"Andonie R, Sasu L (2006) Fuzzy ARTMAP with input relevances. IEEE Trans Neural Netw 17:929\u2013941","journal-title":"IEEE Trans Neural Netw"},{"key":"9663_CR3","first-page":"217","volume-title":"Advances in neural information processing systems","author":"L Bottou","year":"2004","unstructured":"Bottou L, Cun YL (2004) Large scale online learning. In: Thrun S, Saul L, Sch\u00f6lkopf B (eds) Advances in neural information processing systems, vol 16. MIT Press, Cambridge, pp 217\u2013224"},{"issue":"12","key":"9663_CR4","doi-asserted-by":"crossref","first-page":"2150","DOI":"10.1109\/TNN.2008.2003284","volume":"19","author":"A Brandstetter","year":"2008","unstructured":"Brandstetter A, Artusi A (2008) Radial basis function networks GPU-based implementation. IEEE Trans Neural Netw 19(12):2150\u20132154","journal-title":"IEEE Trans Neural Netw"},{"key":"9663_CR5","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1109\/72.159059","volume":"3","author":"GA Carpenter","year":"1992","unstructured":"Carpenter GA, Grossberg S, Markuzon N, Reynolds JH, Rosen DB (1992) Fuzzy ARTMAP: a neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Trans Neural Netw 3:698\u2013713","journal-title":"IEEE Trans Neural Netw"},{"issue":"3","key":"9663_CR6","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1080\/00031305.1983.10483115","volume":"37","author":"TF Chan","year":"1983","unstructured":"Chan TF, Golub GH, Leveque RJ (1983) Algorithms for computing the sample variance: analysis and recommendations. Am Stat 37(3):242\u2013247","journal-title":"Am Stat"},{"issue":"4","key":"9663_CR7","doi-asserted-by":"crossref","first-page":"966","DOI":"10.1109\/TNN.2006.875982","volume":"17","author":"C Constantinopoulos","year":"2006","unstructured":"Constantinopoulos C, Likas A (2006) An incremental training method for the probabilistic RBF network. IEEE Trans Neural Netw 17(4):966\u2013974","journal-title":"IEEE Trans Neural Netw"},{"key":"9663_CR8","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/0885-064X(87)90027-6","volume":"3","author":"JW Demmel","year":"1987","unstructured":"Demmel JW (1987) The geometry of ill-conditioning. J Complex 3:201\u2013229","journal-title":"J Complex"},{"key":"9663_CR9","doi-asserted-by":"crossref","unstructured":"Dietterich T (2000) Ensemble methods in machine learning. In: Multiple classifier systems. Lecture notes in computer science, vol 1857. Springer, Berlin, pp 1\u201315","DOI":"10.1007\/3-540-45014-9_1"},{"issue":"4","key":"9663_CR10","doi-asserted-by":"crossref","first-page":"212","DOI":"10.3109\/0954898X.2012.739292","volume":"23","author":"H\u00dc Dinkelbach","year":"2012","unstructured":"Dinkelbach H\u00dc, Vitay J, Beuth F, Hamker FH (2012) Comparison of GPU- and CPU-implementations of mean-firing rate neural networks on parallel hardware. Netw Comput Neural Syst 23(4):212\u2013236","journal-title":"Netw Comput Neural Syst"},{"key":"9663_CR11","volume-title":"Pattern classification","author":"RO Duda","year":"2000","unstructured":"Duda RO, Hart PE, Stork DG (2000) Pattern classification, 2nd edn. Wiley, New York","edition":"2"},{"key":"9663_CR12","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1007\/978-1-4471-0811-5_8","volume-title":"Neural nets WIRN VIETRI-98 (Perspectives in neural computing)","author":"A Esposito","year":"1999","unstructured":"Esposito A, Marinaro M, Oricchio D, Scarpetta S (1999) A new incremental strategy for function approximation by radial basis function neural networks. In: Marinaro M, Tagliaferri R (eds) Neural nets WIRN VIETRI-98 (Perspectives in neural computing). Springer, London, pp 113\u2013119"},{"key":"9663_CR13","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/S0893-6080(03)00078-9","volume":"17","author":"K Fukushima","year":"2004","unstructured":"Fukushima K (2004) Neocognitron capable of incremental learning. Neural Netw 17:37\u201346","journal-title":"Neural Netw"},{"key":"9663_CR14","first-page":"1","volume-title":"Advances in intelligent data analysis XII. Lecture notes in computer science","author":"DJ Hand","year":"2013","unstructured":"Hand DJ (2013) Data, not dogma: big data, open data, and the opportunities ahead. In: Tucker A, Hppner F, Siebes A, Swift S (eds) Advances in intelligent data analysis XII. Lecture notes in computer science, vol 8207. Springer, Berlin, pp 1\u201312"},{"key":"9663_CR15","unstructured":"Harris M (2008) Optimizing parallel reduction in CUDA. Technical report, nVidia. http:\/\/developer.download.nvidia.com\/assets\/cuda\/files\/reduction.pdf"},{"key":"9663_CR16","unstructured":"Jones E, Oliphant T, Peterson P et al (2001) SciPy: open source scientific tools for Python. http:\/\/www.scipy.org\/"},{"key":"9663_CR17","unstructured":"Khronos OpenCL Working Group: The OpenCL Specification, version 1.12 (2012). https:\/\/www.khronos.org\/registry\/cl\/specs\/opencl-1.2.pdf"},{"issue":"3","key":"9663_CR18","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.parco.2011.09.001","volume":"38","author":"A Kl\u00f6ckner","year":"2012","unstructured":"Kl\u00f6ckner A, Pinto N, Lee Y, Catanzaro B, Ivanov P, Fasih A (2012) PyCUDA and PyOpenCL: a scripting-based approach to GPU run-time code generation. Parallel Comput 38(3):157\u2013174","journal-title":"Parallel Comput"},{"key":"9663_CR19","doi-asserted-by":"crossref","DOI":"10.1002\/0471660264","volume-title":"Combining pattern classifiers: methods and algorithms","author":"LI Kuncheva","year":"2004","unstructured":"Kuncheva LI (2004) Combining pattern classifiers: methods and algorithms. Wiley-Interscience, Hoboken"},{"issue":"3","key":"9663_CR20","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1145\/1816038.1816021","volume":"38","author":"VW Lee","year":"2010","unstructured":"Lee VW, Kim C, Chhugani J, Deisher M, Kim D, Nguyen AD, Satish N, Smelyanskiy M, Chennupaty S, Hammarlund P, Singhal R, Dubey P (2010) Debunking the 100X GPU vs. CPU Myth: an evaluation of throughput computing on CPU and GPU. SIGARCH Comput Archit News 38(3):451\u2013460","journal-title":"SIGARCH Comput Archit News"},{"key":"9663_CR21","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/978-3-540-79474-5_4","volume-title":"Computational intelligence paradigms studies in computational intelligence","author":"B Lerner","year":"2008","unstructured":"Lerner B, Guterman H (2008) Advanced developments and applications of the fuzzy ARTMAP neural network in pattern classification. In: Jain LC, Sato-Ilic M, Virvou M, Tsihrintzis GA, Balas VE, Abeynayake C (eds) Computational intelligence paradigms studies in computational intelligence, vol 137. Springer, New York, pp 77\u2013107"},{"key":"9663_CR22","unstructured":"Lichman M (2013) UCI machine learning repository. http:\/\/archive.ics.uci.edu\/ml"},{"issue":"348","key":"9663_CR23","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1080\/01621459.1974.10480219","volume":"69","author":"RF Ling","year":"1974","unstructured":"Ling RF (1974) Comparison of several algorithms for computing sample means and variances. J Am Stat Assoc 69(348):859\u2013866","journal-title":"J Am Stat Assoc"},{"key":"9663_CR24","first-page":"2150","volume":"3","author":"L Lopes","year":"2011","unstructured":"Lopes L, Ribeiro B (2011) GPUMLib: an efficient open-source GPU machine learning library. Int J Comput Inf Syst Ind Manag Appl 3:2150\u20137988","journal-title":"Int J Comput Inf Syst Ind Manag Appl"},{"key":"9663_CR25","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1007\/978-3-540-73007-1_57","volume-title":"Computational and ambient intelligence. Lecture notes in computer science","author":"M Mart\u00ednez-Zarzuela","year":"2007","unstructured":"Mart\u00ednez-Zarzuela M, D\u00edaz Pernas FJ, D\u00edez Higuera JF, Rodr\u00edguez MA (2007) Fuzzy ART neural network parallel computing on the GPU. In: Sandoval F, Prieto A, Cabestany J, Graa M (eds) Computational and ambient intelligence. Lecture notes in computer science, vol 4507. Springer, Berlin, pp 463\u2013470"},{"key":"9663_CR26","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/978-3-642-02478-8_19","volume-title":"Bio-inspired systems: computational and ambient intelligence. Lecture notes in computer science","author":"M Mart\u00ednez-Zarzuela","year":"2009","unstructured":"Mart\u00ednez-Zarzuela M, Pernas F, Pablos A, Rodr\u00edguez M, Higuera J, Giralda D, Ortega D (2009) Adaptative resonance theory fuzzy networks parallel computation using CUDA. In: Cabestany J, Sandoval F, Prieto A, Corchado J (eds) Bio-inspired systems: computational and ambient intelligence. Lecture notes in computer science, vol 5517. Springer, Berlin, pp 149\u2013156"},{"key":"9663_CR27","volume-title":"Machine learning: a probabilistic perspective (Adaptive computation and machine learning series)","author":"KP Murphy","year":"2012","unstructured":"Murphy KP (2012) Machine learning: a probabilistic perspective (Adaptive computation and machine learning series). The MIT Press, Cambridge"},{"issue":"2","key":"9663_CR28","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1145\/1365490.1365500","volume":"6","author":"J Nickolls","year":"2008","unstructured":"Nickolls J, Buck I, Garland M, Skadron K (2008) Scalable parallel programming with cuda. Queue 6(2):40\u201353. doi: 10.1145\/1365490.1365500","journal-title":"Queue"},{"key":"9663_CR29","doi-asserted-by":"crossref","unstructured":"P\u00e9bay P (2008) Formulas for robust, one-pass parallel computation of covariances and arbitrary-order statistical moments. Sandia Report SAND2008-6212, Sandia National Laboratories","DOI":"10.2172\/1028931"},{"key":"9663_CR30","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.neunet.2013.04.006","volume":"46","author":"L Sasu","year":"2013","unstructured":"Sasu L, Andonie R (2013) Bayesian ARTMAP for regression. Neural Netw 46:23\u201331","journal-title":"Neural Netw"},{"issue":"9","key":"9663_CR31","doi-asserted-by":"crossref","first-page":"1475","DOI":"10.1016\/S0031-3203(99)00138-7","volume":"33","author":"DM Tax","year":"2000","unstructured":"Tax DM, van Breukelen M, Duin RP, Kittler J (2000) Combining multiple classifiers by averaging or by multiplying? Pattern Recognit 33(9):1475\u20131485","journal-title":"Pattern Recognit"},{"key":"9663_CR32","doi-asserted-by":"crossref","first-page":"1628","DOI":"10.1109\/TNN.2007.900234","volume":"18","author":"B Vigdor","year":"2007","unstructured":"Vigdor B, Lerner B (2007) The Bayesian ARTMAP. IEEE Trans Neural Netw 18:1628\u20131644","journal-title":"IEEE Trans Neural Netw"},{"issue":"3","key":"9663_CR33","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1080\/00401706.1962.10490022","volume":"4","author":"B Welford","year":"1962","unstructured":"Welford B (1962) Note on a method for calculating corrected sums of squares and products. Technometrics 4(3):419\u2013420","journal-title":"Technometrics"},{"key":"9663_CR34","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1016\/0893-6080(95)00115-8","volume":"9","author":"J Williamson","year":"1996","unstructured":"Williamson J (1996) Gaussian ARTMAP: a neural network for fast incremental learning of noisy multidimensional maps. Neural Netw 9:881\u2013897","journal-title":"Neural Netw"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-017-9663-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11063-017-9663-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-017-9663-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T08:18:47Z","timestamp":1719303527000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11063-017-9663-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,6]]},"references-count":34,"alternative-id":["9663"],"URL":"https:\/\/doi.org\/10.1007\/s11063-017-9663-x","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,7,6]]}}}