"úÁÐÉÓËÉ ÎÁÕÞÎÙÈ ÓÅÍÉÎÁÒÏ× ðïíé"

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• I. ðÒÉËÌÁÄÎÁÑ ÍÁÔÅÍÁÔÉËÁ
• áÎÄÒÉÁÎÏ× ð. á. äÉÓËÒÅÔÎÙÊ ÐÅÒÉÏÄÉÞÅÓËÉÊ ËÒÁÔÎÏÍÁÓÛÔÁÂÎÙÊ ÁÎÁÌÉÚ ....... 7 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• ÷ÉÎÏÇÒÁÄÏ× ï. ì. îÅÎÁÓÙÝÅÎÎÙÅ ÏÃÅÎËÉ ÐÏÇÒÅÛÎÏÓÔÉ ÆÏÒÍÕÌÙ ëÏÔÅÌØÎÉËÏ×Á ....... 22 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• ëÏÓÏ×ÓËÁÑ ô. í. éÚÏÍÏÒÆÉÚÍ ÆÏÒÍÕÌ ÉÓÞÉÓÌÅÎÉÑ ÐÒÅÄÉËÁÔÏ× × ÚÁÄÁÞÁÈ éÓËÕÓÓÔ×ÅÎÎÏÇÏ éÎÔÅÌÌÅËÔÁ ....... 38 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• ìÅÂÅÄÅ×Á å. á., ýÅÒÂÁËÏ× é. á. íÁÓÛÔÁÂÉÒÕÀÝÉÅ ÍÁÓËÉ Ö£ÓÔËÉÈ ÆÒÅÊÍÏ× ×ÓÐÌÅÓËÏ× ....... 53 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• íÁÌÏÚ£ÍÏ× ÷. î., ôÁÍÁÓÑÎ ç. û. æÁËÔÏÒÉÚÁÃÉÑ ÍÁÔÒÉÃÙ ÏÒÔÏÇÏÎÁÌØÎÏÇÏ ÐÒÏÅËÔÉÒÏ×ÁÎÉÑ ÎÁ ÐÏÄÐÒÏÓÔÒÁÎÓÔ×Ï ....... 67 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• íÕÚÁÌÅ×ÓËÉÊ á. ÷., òÅÐÉÎ ó. é. áÐÏÓÔÅÒÉÏÒÎÙÊ ËÏÎÔÒÏÌØ ÔÏÞÎÏÓÔÉ ÐÒÉÂÌÉÖÅÎÎÙÈ ÒÅÛÅÎÉÊ ËÒÁÅ×ÙÈ ÚÁÄÁÞ, ÐÏÌÕÞÅÎÎÙÈ Ó ÐÏÍÏÝØÀ ÎÅÊÒÏÎÎÙÈ ÓÅÔÅÊ ....... 77 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• ôÉÍÏÎÏ× A. îÏ×ÙÊ ÍÅÔÏÄ ÞÉÓÌÅÎÎÏÇÏ ÒÅÛÅÎÉÑ ÇÉÂÒÉÄÎÏÊ ÏÂÒÁÔÎÏÊ ÚÁÄÁÞÉ ×ÉÚÕÁÌÉÚÁÃÉÉ ÜÌÅËÔÒÉÞÅÓËÏÊ ÐÒÏ×ÏÄÉÍÏÓÔÉ ....... 105 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• II. éÎÆÏÒÍÁÔÉËÁ
• áÌÅËÓÅÅ× á. í., îÉËÏÌÅÎËÏ ó. é. ÷ÏÓÓÔÁÎÏ×ÌÅÎÉÅ ÓÌÏ×ÏÆÏÒÍ ÐÏ ËÏÎÔÅËÓÔÕ ÄÌÑ ÍÏÒÆÏÌÏÇÉÞÅÓËÉ ÂÏÇÁÔÙÈ ÑÚÙËÏ× ....... 129 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• áÒÈÁÎÇÅÌØÓËÁÑ å., îÉËÏÌÅÎËÏ ó. çÌÕÂÏËÏÅ ÏÂÕÞÅÎÉÅ ÄÌÑ ÏÂÒÁÂÏÔËÉ ÅÓÔÅÓÔ×ÅÎÎÙÈ ÑÚÙËÏ×: ÏÂÚÏÒ ....... 137 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• çÁÌÉÎÓËÉÊ ò. â., áÌÅËÓÅÅ× á. í., îÉËÏÌÅÎËÏ ó. é. ðÏÓÌÏ×ÎÁÑ ÁÕÇÍÅÎÔÁÃÉÑ ÄÌÑ ÏÂÕÞÅÎÉÑ ÐÏÓÉÍ×ÏÌØÎÙÈ ÍÏÄÅÌÅÊ ÎÁ ÒÕÓÓËÏÑÚÙÞÎÙÈ ÔÅËÓÔÁÈ ....... 206 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• íÁÚÉÔÏ× ÷., áÌÉÍÏ×Á é., ôÕÔÕÂÁÌÉÎÁ å. òÁÓÐÏÚÎÁ×ÁÎÉÅ ÉÍÅÎÏ×ÁÎÎÙÈ ÓÕÝÎÏÓÔÅÊ ÄÌÑ ÒÕÓÓËÏÇÏ ÑÚÙËÁ ÐÒÉ ÐÏÍÏÝÉ ÍÕÌØÔÉÚÁÄÁÞÎÏÊ ÍÏÄÅÌÉ LSTM-CRF ....... 222 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• íÁÌÙÈ ÷., ìÑÌÉÎ ÷. õÌÕÞÛÅÎÉÅ ÕÓÔÏÊÞÉ×ÏÓÔÉ ËÌÁÓÓÉÆÉËÁÃÉÉ ÚÁÛÕÍÌÅÎÎÙÈ ÔÅËÓÔÏ× ÐÒÉ ÐÏÍÏÝÉ ÒÏÂÁÓÔÎÙÈ ×ÅËÔÏÒÏ× ÓÌÏ× ....... 236 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• èÁÈÕÌÉÎ ô., ìÏÇÁÞÅ×Á ÷., íÁÌÙÈ ÷. òÏÂÁÓÔÎÙÅ ×ÅËÔÏÒÙ ÓÌÏ×: ÒÁÓÐÒÅÄÅÌ£ÎÎÙÅ ÐÒÅÄÓÔÁ×ÌÅÎÉÑ ÄÌÑ ÚÁÛÕÍÌÅÎÎÙÈ ÔÅËÓÔÏ× Ó ÕÞ£ÔÏÍ ËÏÎÔÅËÓÔÁ ....... 248 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• óÁ×ÞÅÎËÏ á. ÷. ÷ÙÞÉÓÌÉÔÅÌØÎÏ ÜÆÆÅËÔÉ×ÎÙÅ ÁÌÇÏÒÉÔÍÙ ËÌÁÓÓÉÆÉËÁÃÉÉ ÉÚÏÂÒÁÖÅÎÉÊ ÎÁ ÏÓÎÏ×Å ÐÏÓÌÅÄÏ×ÁÔÅÌØÎÏÇÏ ÁÎÁÌÉÚÁ ....... 267 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• ôÕÔÕÂÁÌÉÎÁ å., îÉËÏÌÅÎËÏ ó. é. ôÅÍÁÔÉÞÅÓËÉÅ ÍÏÄÅÌÉ Ó ÁÐÒÉÏÒÎÙÍÉ ÒÁÓÐÒÅÄÅÌÅÎÉÑÍÉ ÔÏÎÁÌØÎÏÓÔÅÊ ÎÁ ÏÓÎÏ×Å ÒÁÓÐÒÅÄÅÌ£ÎÎÙÈ ÐÒÅÄÓÔÁ×ÌÅÎÉÊ ....... 284 áÎÎÏÔÁÃÉÑ ðÏÌÎÙÊ ÔÅËÓÔ(.pdf)
• òÅÆÅÒÁÔÙ ....... 302 (.pdf)

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Contents  
• Preface ....... 5
• I.
• Andrianov P. A. Discrete periodic multiresolution analysis ....... 7
• Vinogradov O. L. Non-saturated estimates of the Kotelnikov formula error ....... 22
• Kosovskaya T. M. Isomorphism of predicate formulas in artificil intelligence problems ....... 38
• Lebedeva E. A., Sherbakov I. A. Refinement masks of tight wavelet frames ....... 53
• Malozemov V. N., Tamasyan G. Sh. Factorization of the projection matrix onto a subspace ....... 67
• Muzalevsky A. V., Repin S. I. A posteriori error control of approximate solutions to boundary value problems constructed by neural networks ....... 77
• Timonov A. A novel method for the numerical solution of a hybrid inverse problem of electrical conductivity imaging ....... 105
• II.
• Alekseev A. M., Nikolenko S. I. Recovering word forms by context for morphologically rich languages ....... 129
• Arkhangelskaya E., Nikolenko S. Deep learning for natural language processing: a survey ....... 137
• Galinsky R. B., Alekseev A. M., Nikolenko S. I. Improving neural models for natural language processing in Russian with synonyms ....... 206
• Mazitov D. , Alimova I., Tutubalina E. Named entity recognition in Russian using multi-task LSTM-CRF ....... 222
• Malykh V., Lyalin V. Improving classification robustness for noisy texts with robust word vectors ....... 236
• Khakhulin T., Logacheva V., Malykh V. Robust word vectors: context-informed embeddings for noisy texts ....... 248
• Savchenko A. V. Fast image classification algorithms based on sequential analysis ....... 267
• Tutubalina E., Nikolenko S. I. Topic models with sentiment priors based on distributed representations ....... 284
• Reviews ....... 302

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• Paging: 309 pp.

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