A dichotomy theorem for general minimum cost homomorphism problem R Takhanov 27th International Symposium on Theoretical Aspects of Computer Science, 2007 | 57 | 2007 |
Fourier neural networks: A comparative study M Uteuliyeva, A Zhumekenov, R Takhanov, Z Assylbekov, AJ Castro, ... Intelligent Data Analysis 24 (5), 1107-1120, 2020 | 29 | 2020 |
Syllable-aware neural language models: A failure to beat character-aware ones Z Assylbekov, R Takhanov, B Myrzakhmetov, JN Washington 2017 Conference on Empirical Methods in Natural Language Processing, 2017 | 18 | 2017 |
Extensions of the minimum cost homomorphism problem R Takhanov Computing and Combinatorics: 16th Annual International Conference, COCOON …, 2010 | 16 | 2010 |
Effectiveness of structural restrictions for hybrid CSPs V Kolmogorov, M Rolínek, R Takhanov International Symposium on Algorithms and Computation, 566-577, 2015 | 15 | 2015 |
Inference algorithms for pattern-based CRFs on sequence data R Takhanov, V Kolmogorov International Conference on Machine Learning, 145-153, 2013 | 15 | 2013 |
Context vectors are reflections of word vectors in half the dimensions Z Assylbekov, R Takhanov Journal of Artificial Intelligence Research 66, 225-242, 2019 | 10 | 2019 |
Hybrid VCSPs with Crisp and Valued Conservative Templates R Takhanov 28th International Symposium on Algorithms and Computation (ISAAC 2017), 2017 | 7* | 2017 |
Reusing weights in subword-aware neural language models Z Assylbekov, R Takhanov 2018 Conference of the North American Chapter of the Association for …, 2018 | 6 | 2018 |
On the speed of uniform convergence in Mercer's theorem R Takhanov Journal of Mathematical Analysis and Applications 518 (2), 126718, 2023 | 5 | 2023 |
Patterns versus characters in subword-aware neural language modeling R Takhanov, Z Assylbekov International Conference on Neural Information Processing, 157-166, 2017 | 3 | 2017 |
Предикатное задание универсальных ограничений в алгебраическом подходе к задачам распознавания РС Таханов Журнал вычислительной математики и математической физики 47 (3), 547-552, 2007 | 3* | 2007 |
Максимальные предикатные задания множеств отображений РС Таханов Журнал вычислительной математики и математической физики 47 (9), 1636-1648, 2007 | 2* | 2007 |
Autoencoders for a manifold learning problem with a jacobian rank constraint R Takhanov, YS Abylkairov, M Tezekbayev Pattern Recognition 143, 109777, 2023 | 1 | 2023 |
Reducing the dimensionality of data using tempered distributions R Takhanov Digital Signal Processing 133, 103819, 2023 | 1 | 2023 |
Learning the pattern-based CRF for prediction of a protein local structure Z Mukanov, R Takhanov Informatica 46 (6), 2022 | 1 | 2022 |
Combining pattern-based CRFs and weighted context-free grammars R Takhanov, V Kolmogorov Intelligent Data Analysis 26 (1), 257-272, 2022 | 1 | 2022 |
Approximation error of Fourier neural networks A Zhumekenov, R Takhanov, AJ Castro, Z Assylbekov Statistical Analysis and Data Mining: The ASA Data Science Journal 14 (3 …, 2021 | 1 | 2021 |
Dimension reduction as an optimization problem over a set of generalized functions R Takhanov | 1 | 2020 |
Reproducing and regularizing the scrn model O Kabdolov, Z Assylbekov, R Takhanov Proceedings of the 27th International Conference on Computational …, 2018 | 1 | 2018 |