{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T11:37:57Z","timestamp":1725536277584},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642329081"},{"type":"electronic","value":"9783642329098"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-32909-8_30","type":"book-chapter","created":{"date-parts":[[2013,4,19]],"date-time":"2013-04-19T12:39:58Z","timestamp":1366375198000},"page":"295-304","source":"Crossref","is-referenced-by-count":0,"title":["Direct Zero-Norm Minimization for Neural Network Pruning and Training"],"prefix":"10.1007","author":[{"given":"S. P.","family":"Adam","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"George D.","family":"Magoulas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. N.","family":"Vrahatis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"30_CR1","unstructured":"Norgaard, M.: Neural Network Based System Identification Toolbox, version 2. Technical report, 00-E-891, Dept. of Automation, Technical University of Denmark (2000)"},{"key":"30_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1007\/3-540-61723-X_1040","volume-title":"Parallel Problem Solving from Nature - PPSN IV","author":"S.W. Stepniewski","year":"1996","unstructured":"Stepniewski, S.W., Keane, A.J.: Topology Design of Feedforward Neural Networks by Genetic Algorithms. In: Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel, H.-P. (eds.) PPSN 1996. LNCS, vol.\u00a01141, pp. 771\u2013780. Springer, Heidelberg (1996)"},{"key":"30_CR3","doi-asserted-by":"crossref","unstructured":"Pinkus, A.: Approximation theory of the MLP model in neural model. Acta Numerica, 143\u2013195 (1999)","DOI":"10.1017\/S0962492900002919"},{"key":"30_CR4","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1214\/aos\/1176348546","volume":"20","author":"L.K. Jones","year":"1992","unstructured":"Jones, L.K.: A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network training. The Annals of Statistics\u00a020, 601\u2013613 (1992)","journal-title":"The Annals of Statistics"},{"key":"30_CR5","doi-asserted-by":"publisher","first-page":"930","DOI":"10.1109\/18.256500","volume":"39","author":"A.R. Barron","year":"1993","unstructured":"Barron, A.R.: Universal approximation bounds for superposition of a sigmoidal function. IEEE Trans. Inform. Theory\u00a039, 930\u2013945 (1993)","journal-title":"IEEE Trans. Inform. Theory"},{"key":"30_CR6","doi-asserted-by":"publisher","first-page":"1061","DOI":"10.1016\/S0893-6080(97)00028-2","volume":"10","author":"V. K\u016frkov\u00e1","year":"1997","unstructured":"K\u016frkov\u00e1, V., Kainen, P.C., Kreinovich, V.: Estimates of the number of hidden units and variation with respect to half-spaces. Neural Networks\u00a010, 1061\u20131068 (1997)","journal-title":"Neural Networks"},{"key":"30_CR7","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/0893-6080(91)90009-T","volume":"4","author":"K. Hornik","year":"1991","unstructured":"Hornik, K.: Approximation capabilities of multilayer feedforward networks. Neural Networks\u00a04, 251\u2013257 (1991)","journal-title":"Neural Networks"},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1109\/72.248452","volume":"4","author":"R. Reed","year":"1993","unstructured":"Reed, R.: Pruning algorithms - A Survey. IEEE Trans. Neural Networks\u00a04, 740\u2013747 (1993)","journal-title":"IEEE Trans. Neural Networks"},{"key":"30_CR9","volume-title":"Solution of Ill-posed Problems","author":"A.N. Tikhonov","year":"1977","unstructured":"Tikhonov, A.N., Arsenin, V.Y.: Solution of Ill-posed Problems. W.H. Winston, Washington, DC (1977)"},{"key":"30_CR10","volume-title":"Neural networks: A comprehensive Foundation","author":"S. Haykin","year":"1999","unstructured":"Haykin, S.: Neural networks: A comprehensive Foundation. Prentice-Hall, Upper Saddle River (1999)"},{"key":"30_CR11","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/0004-3702(89)90049-0","volume":"40","author":"G.E. Hinton","year":"1989","unstructured":"Hinton, G.E.: Connectionist learning procedures. Artificial Intelligence\u00a040, 185\u2013234 (1989)","journal-title":"Artificial Intelligence"},{"key":"30_CR12","first-page":"875","volume-title":"Advances in Neural Information Processing Systems (3)","author":"A.S. Weigend","year":"1991","unstructured":"Weigend, A.S., Rumelhart, D.E., Huberman, B.A.: Generalization by weight-elimination with application to forecasting. In: Lippmann, R., Moody, J., Touretzky, D. (eds.) Advances in Neural Information Processing Systems (3), pp. 875\u2013882. Morgan-Kaufmann, San Mateo (1991)"},{"key":"30_CR13","first-page":"40","volume-title":"Advances in Neural Information Processing Systems (1)","author":"M.C. Mozer","year":"1989","unstructured":"Mozer, M.C., Smolensky, P.: Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment. In: Touretzky, D.S. (ed.) Advances in Neural Information Processing Systems (1), pp. 40\u201348. Morgan Kaufmann, San Francisco (1989)"},{"key":"30_CR14","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1109\/72.80236","volume":"1","author":"E.D. Karnin","year":"1990","unstructured":"Karnin, E.D.: A simple procedure for pruning back-propagation trained neural networks. IEEE Trans. Neural Networks\u00a01, 239\u2013242 (1990)","journal-title":"IEEE Trans. Neural Networks"},{"key":"30_CR15","first-page":"598","volume-title":"Advances in Neural Information Processing Systems (2)","author":"Y. LeCun","year":"1990","unstructured":"LeCun, Y., Denker, J.S., Solla, S.A.: Optimal Brain Damage. In: Touretzky, D.S. (ed.) Advances in Neural Information Processing Systems (2), pp. 598\u2013605. Morgan Kaufmann, San Francisco (1990)"},{"key":"30_CR16","first-page":"164","volume-title":"Advances in Neural Information Processing Systems (5)","author":"B. Hassibi","year":"1993","unstructured":"Hassibi, B., Stork, D.G.: Second order derivatives for network pruning: Optimal Brain Surgeon. In: Hanson, S.J., Cowan, J.D., Giles, C.L. (eds.) Advances in Neural Information Processing Systems (5), pp. 164\u2013172. Morgan-Kaufmann, San Mateo (1993)"},{"key":"30_CR17","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1016\/B978-0-444-89488-5.50036-1","volume-title":"Proc. of the International Conference on Artificial Neural Networks","author":"P.J.B. Hancock","year":"1992","unstructured":"Hancock, P.J.B.: Pruning neural networks by genetic algorithm. In: Aleksander, I., Taylor, J.G. (eds.) Proc. of the International Conference on Artificial Neural Networks, pp. 991\u2013994. Elsevier, Brighton (1992)"},{"key":"30_CR18","unstructured":"Whitley, D.: Genetic Algorithms and Neural Networks. Genetic Algorithms in Engineering and Computer Science, pp. 191\u2013201. John Wiley (1995)"},{"key":"30_CR19","doi-asserted-by":"crossref","unstructured":"Garro, B.A., Sossa, H., Vazquez, R.A.: Design of artificial neural networks using a modified particle swarm optimization algorithm. In: Proc. IEEE International Joint Conference on Neural Networks, Atlanta, pp. 938\u2013945 (2009)","DOI":"10.1109\/IJCNN.2009.5178918"},{"key":"30_CR20","doi-asserted-by":"crossref","unstructured":"Zhao, L., Qian, F.: Tuning the structure and parameters of a neural network using cooperative binary-real particle swarm optimization. Expert Systems with Applications (2010)","DOI":"10.1016\/j.eswa.2010.09.154"},{"key":"30_CR21","first-page":"1439","volume":"3","author":"J. Weston","year":"2003","unstructured":"Weston, J., Elisseeff, A., Sch\u00f6lkopf, B., Tipping, M.: Use of the zero-norm with linear models and kernel methods. J. Machine Learning Res.\u00a03, 1439\u20131461 (2003)","journal-title":"J. Machine Learning Res."},{"key":"30_CR22","first-page":"303","volume":"3","author":"G.M. Fung","year":"2002","unstructured":"Fung, G.M., Mangasarian, O.L., Smola, A.J.: Minimal kernel classifiers. J. Machine Learning Res.\u00a03, 303\u2013321 (2002)","journal-title":"J. Machine Learning Res."},{"key":"30_CR23","doi-asserted-by":"crossref","unstructured":"Amaldi, E., Kann, V.: On the approximability of minimizing non zero variables or unsatisfied relations in linear systems. Theoretical Computer Science, 237\u2013260 (1998)","DOI":"10.1016\/S0304-3975(97)00115-1"},{"key":"30_CR24","first-page":"585","volume-title":"Advances in Neural Information Processing Systems (9)","author":"J.E. Moody","year":"1997","unstructured":"Moody, J.E., R\u00f6gnvaldsson, T.: Smoothing regularizers for projective basis function networks. In: Mozer, M., Jordan, M.I., Petsche, T. (eds.) Advances in Neural Information Processing Systems (9), pp. 585\u2013591. MIT Press, Denver (1997)"},{"key":"30_CR25","first-page":"177","volume-title":"Advances in Neural Information Processing Systems (1)","author":"S.J. Hanson","year":"1989","unstructured":"Hanson, S.J., Pratt, L.Y.: Comparing biases for minimal network construction with back-propagation. In: Touretzky, D.S. (ed.) Advances in Neural Information Processing Systems (1), pp. 177\u2013185. Morgan Kaufmann, San Francisco (1989)"},{"key":"30_CR26","unstructured":"Parsopoulos, K.E., Tasoulis, D.K., Vrahatis, M.N.: Multi-objective optimization using parallel vector evaluated particle swarm optimization. In: Proc. of the IASTED International Conference on Artificial Intelligence and Applications (AIA), Innsbruck, vol.\u00a02, pp. 823\u2013828 (2004)"},{"key":"30_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TEVC.2003.816583","volume":"8","author":"F. Bergh van de","year":"2004","unstructured":"van de Bergh, F., Engelbrecht, A.P.: A cooperative approach to particle swarm optimization. IEEE Trans. Evolutionary Computation\u00a08, 1\u201315 (2004)","journal-title":"IEEE Trans. Evolutionary Computation"}],"container-title":["Communications in Computer and Information Science","Engineering Applications of Neural Networks"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-32909-8_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,12]],"date-time":"2019-07-12T21:13:22Z","timestamp":1562966002000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-32909-8_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642329081","9783642329098"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-32909-8_30","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2012]]}}}