b"\n_START_ARTICLE_\n\xc5\xa0ar\xc5\xabnas Raudys\n_START_SECTION_\nBiografija\n_START_PARAGRAPH_\nT\xc4\x97vas Juozas Baltru\xc5\xa1is, motina Antanina Baltru\xc5\xa1ien\xc4\x97. D\xc4\x97l sovietin\xc4\x97s vald\xc5\xbeios persekiojimo t\xc4\x97vas pakeit\xc4\x97 pavard\xc4\x99 \xc4\xaf Raudys._NEWLINE_1958\xc2\xa0m. baig\xc4\x97 Panev\xc4\x97\xc5\xbeio 1-\xc4\x85j\xc4\x85 vidurin\xc4\x99 mokykl\xc4\x85, 1963\xc2\xa0m. Kauno politechnikos institute\xc2\xa0\xe2\x80\x93 elektros ir kompiuteri\xc5\xb3 in\xc5\xbeinerij\xc4\x85. 1963\xe2\x80\x931965\xc2\xa0m. Vilniaus skai\xc4\x8diavimo ma\xc5\xa1in\xc5\xb3 gamyklos specialiojo konstravimo biuro konstruktorius. 1965\xe2\x80\x931977\xc2\xa0m. dirbo Fizikos ir matematikos institute. 1969\xc2\xa0m. technikos moksl\xc5\xb3 kandidatas, 1978\xc2\xa0m. moksl\xc5\xb3 daktaras.  Nuo 1977\xc2\xa0m. Matematikos ir kibernetikos instituto darbuotojas, nuo 1981\xc2\xa0m. duomen\xc5\xb3 analiz\xc4\x97s skyriaus vadovas. 1985\xc2\xa0m. profesorius. _NEWLINE_Matematikos ir informatikos instituto duomen\xc5\xb3 analiz\xc4\x97s skyriaus vadovas. Vadovauja duomen\xc5\xb3 gavybos ir dirbtini\xc5\xb3 neuronini\xc5\xb3 tinkl\xc5\xb3 grupei. Jo grup\xc4\x97s mokslini\xc5\xb3 tyrim\xc5\xb3 interesai apima daugiamat\xc4\x99 analiz\xc4\x99, statistin\xc4\xaf atpa\xc5\xbeinim\xc4\x85, dirbtinius neuroninius tinklus, duomen\xc5\xb3 gavybos metodus ir biologin\xc4\x97s informacijos apdorojimo sistem\xc5\xb3 taikym\xc4\x85 technologini\xc5\xb3, ekonomini\xc5\xb3 ir biologini\xc5\xb3 problem\xc5\xb3 analizei.\n_START_SECTION_\nPublikacijos\n_START_PARAGRAPH_\n\xc5\xa0ar\xc5\xabno Raud\xc5\xbeio publikacij\xc5\xb3 s\xc4\x85ra\xc5\xa1as: _NEWLINE_Pranevi\xc4\x8dius, Henrikas, Raudys, \xc5\xa0ar\xc5\xabnas, Rud\xc5\xbeionis, Algimantas Aleksandras, Rud\xc5\xbeionis, Vytautas, Ratkevi\xc4\x8dius, Kastytis, Sakalauskait\xc4\x97, J\xc5\xabrat\xc4\x97, Makackas, Dalius, Agentini\xc5\xb3 sistem\xc5\xb3 modeliai : [vadov\xc4\x97lis informatikos ir informatikos in\xc5\xbeinerijos mokslo krypties doktorantams], Kaunas\xc2\xa0: Kauno technologijos universitetas, 2008. 231 p._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, A target value control while training the perceptrons in changing environments, Fourth International Conference on Natural Computation ISNS 2008\xc2\xa0: proceedings\xc2\xa0: 18-20 October 2008, Jinan, China. Los Alamitos, CA\xc2\xa0: IEEE Computer Society Press, 2008. Vol. 3 p. 54-58._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas Justickis, Viktoras \xd0\x97\xd0\xb0\xd0\xba\xd0\xbe\xd0\xbd \xd0\x99\xd0\xb5\xd1\x80\xd0\xba\xd1\x81\xd0\xb0-\xd0\x94\xd0\xbe\xd0\xb4\xd1\x81\xd0\xbe\xd0\xbd\xd0\xb0: \xd1\x81\xd0\xb2\xd1\x8f\xd0\xb7\xd1\x8c \xd0\xbc\xd0\xb5\xd0\xb6\xd0\xb4\xd1\x83 \xd1\x81\xd1\x82\xd0\xb8\xd0\xbc\xd1\x83\xd0\xbb\xd0\xb8\xd1\x80\xd0\xbe\xd0\xb2\xd0\xb0\xd0\xbd\xd0\xb8\xd0\xb5\xd0\xbc \xd0\xb8 \xd1\x83\xd1\x81\xd0\xbf\xd0\xb5\xd1\x88\xd0\xbd\xd0\xbe\xd1\x81\xd1\x82\xd1\x8c\xd1\x8e \xd0\xbd\xd0\xb0\xd1\x83\xd1\x87\xd0\xb5\xd0\xbd\xd0\xb8\xd1\x8f, \xd0\x92\xd0\xbe\xd0\xbf\xd1\x80\xd0\xbe\xd1\x81\xd1\x8b \xd0\xbf\xd1\x81\xd0\xb8\xd1\x85\xd0\xbe\xd0\xbb\xd0\xbe\xd0\xb3\xd0\xb8\xd0\xb8. 2008, [\xe2\x84\x96] 3 p. 119-126, ISSN 0042-8841._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Protingi ir aplinkos neter\xc5\xa1iantys automobiliai - netolimos ateities dalykas, Mokslas ir technika. 2008, Nr. 7/8 p. 40-41._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Baykan, \xc3\x96mer Kaan, Babalik, Ahmet, Denisov, Vitalij, Bielskis, Antanas Andrius, Classifiers fusion in recognition of wheat varieties, Lecture notes in computer science. Vol. 4472 (2007) p. 62-71._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Mita\xc5\xa1i\xc5\xabnas, Antanas Multi-agent system approach to react to sudden environmental changes, Lecture notes in computer science. Vol. 4571 (2007) p. 810-823._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Measures of data and classifier complexity and the training sample size, Data complexity in pattern recognition. London\xc2\xa0: Springer, 2006 p. 60-68, ISBN 978-1-84628-171-6_NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Zliobait\xc4\x97, Indr\xc4\x97 The multi-agent system for prediction of financial time series, Lecture notes in artificial intelligence. Vol. 4029 (2006) p. 653-662._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Denisov, Vitalij, Bielskis, Antanas Andrius, A pool of classifiers by SLP: a multi-class case, Lecture notes in computer science. Vol. 4142 (2006) p. 47-56._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Trainable fusion rules. II. Small sample-size effects, Neural networks. Vol. 19, iss. 10 (2006) p. 1517-1527._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Trainable fusion rules. I. Large sample size case, Neural networks. Vol. 19, iss. 10 (2006) p. 1506-1516._NEWLINE_Guler, EC, Sankur, B, Kahya, YP, Raudys, \xc5\xa0ar\xc5\xabnas, Two-stage classification of respiratory sound patterns, Computers in biology and medicine. Vol.35, Iss.1 (2005) p. 67-83, ISSN 0010-4825._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Pumputis, Alvydas, Adaptive agent based model to simulate a necessity of many religions, economies or political systems, International conference on machine intelligence\xc2\xa0: Tozeur \xe2\x80\x93 Tunisia, November 5-7, 2005, 2005 p. 494-500._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Hussain, Aini, Justickis, Viktoras, Pumputis, Alvydas, Augustinaitis, Ar\xc5\xabnas, Functional model of criminality: Simulation study, Lecture notes in computer science. Vol. 3554 (2005) p. 410-423._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Zliobait\xc4\x97, Indr\xc4\x97 Prediction of commodity prices in rapidly changing environments, Lecture notes in computer science. Vol. 3686 (2005) p. 154-163._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Taxonomy of classifiers based on dissimilarity features, Lecture notes in computer science. Vol. 3686 (2005) p. 136-145._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Pabar\xc5\xa1kait\xc4\x97, \xc5\xbdidrina Fixed non-linear combining rules versus adaptive ones, Lecture notes in computer science. Vol. 3070 (2004) p. 260-265._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Young, Dean M., Results in statistical discriminant analysis: a review of the former Soviet Union literature, Journal of multivariate analysis. Vol. 89, Iss. 1 (2004) p. 1-35._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Survival of intelligent agents in changing environments, Lecture notes in computer science. Vol. 3070 (2004) p. 109-117._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Information transmission concept based model of wave propagation in discrete excitable media, Nonlinear analysis: modelling and control. Vol. 9, no. 3 (2004) p. 271-289, 293._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Statistical and neural classifiers\xc2\xa0: an integrated approach to design, London\xc2\xa0: Springer, 2001. XXIII, 289 p., ISBN 978-1-85233-297-6_NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Tamo\xc5\xa1i\xc5\xabnait\xc4\x97, Minija, Biologically inspired architecture of feedforward networks for signal classification, Lecture notes in computer science. Vol. 1876 (2000) p. 727-736._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Classifier\xe2\x80\x99s complexity control while training multilayer perceptrons, Lecture notes in computer science. Vol. 1876 (2000) p. 32-44._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Evolution and generalization of a single neurone. III, Neural networks. Vol.13, Iss.4-5 (2000) p. 507._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Interactive initialization of the multilayer perceptron, Pattern recognition letters. Vol.21, Iss.10 (2000) p. 907._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, Scaled rotation regularization, Pattern recognition. Vol. 33, Iss. 12 (2000) p. 1989._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, A. Raudys. Pair-wise costs in multi-class peceptrons. IEEE Transactions on Pattern Analysis and Machine Intelligence (ISSN 0162-8828), vol. 32, pp. 1324-1328, 2010._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas. Experts' boasting in trainable fusion rules. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, pp. 1178-1182, 2003._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas and A. Saudargiene. First-order tree-type dependence between variables and classification performance. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 23, pp. 1324-1328, 2001._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas. On dimensionality, sample size and classification error of nonparametric linear classification algorithms IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 19, pp. 669-671, 1997._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, R. Kybartas, E. K. Zavadskas. Complexity and sample-size issues in multi-category nets of single-layer perceptrons. IEEE Trans. on Neural Networks (ISSN 1045-9227), vol. 21, 784-795, 2010._NEWLINE_M. Skurichina, Raudys, \xc5\xa0ar\xc5\xabnas, R.P.W. Duin. K-nearest neighbors directed noise injection in multilayer perceptron training IEEE Trans. on Neural Networks, vol. 11, 504-511, 2000._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas. Scaled rotation regularization. Pattern Recognition (ISSN 0031-3203), vol. 33, pp. 1989-1998, 2000._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas. How good are support vector machines? Neural Networks, vol. 13, pp. 9-11, 2000._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas. Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions, Neural Networks, vol. 13, pp. 507-523, 2000._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas. Evolution and generalization of a single neurone. II. Complexity of statistical classifiers and sample size considerations, Neural Networks, vol. 11, pp. 297-313, 1998_NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas. Evolution and generalization of a single neurone. I. SLP as seven statistical classifiers Neural Networks, vol. 11, pp. 283-296, 1998._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas, R.P.W. Duin. On expected classification error of the Fisher classifier with pseudo-inverse covariance matrix, Pattern Recognition Letters (ISSN 0167-8655), vol. 19, pp. 385-392, 1998._NEWLINE_T. Cibas, F. Fogelman, P. Gallinari, S. Raudys. Variable selection with neural networks, Neurocomputing (ISSN 0925-2312), vol. 12, pp. 223-248, 1996._NEWLINE_E. Cagatay Guler, B. Sankur, Y. P. Kahya, S. Raudys. Visual classification of medical data using MLP mapping, Computers in Biology and Medicine, vol. 28 272-287, 1998._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas. An adaptation model for simulation of aging process, International Journal of Modern Physics, ser. C (ISSN 0129-1831), vol. 13: 1075-1086, 2002._NEWLINE_Raudys, \xc5\xa0ar\xc5\xabnas. Intrinsic dimensionality and small sample size properties of classifiers. Kybernetika (ISSN 0023-5954), vol. 34, pp. 461-466, 1998."