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Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms.

, , , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 850-858. JMLR.org, (2016)

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Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms., , , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 850-858. JMLR.org, (2016)Word Sense Disambiguation by Combining Labeled Data Expansion and Semi-Supervised Learning Method., и . ACM Trans. Asian Lang. Inf. Process., 12 (2): 7:1-7:26 (2013)Q-PSP Learning: An Exploitation-Oriented Q-Learning Algorithm and Its Applications., , , и . International Conference on Evolutionary Computation, стр. 76-81. IEEE, (1996)Multi-label Text Categorization with Model Combination based on F1-score Maximization., , и . IJCNLP, стр. 823-828. The Association for Computer Linguistics, (2008)Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs., , , и . AusDM, том 1504 из Communications in Computer and Information Science, стр. 31-46. Springer, (2021)Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction., , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 8195-8204. PMLR, (2021)Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach., , и . EMNLP-CoNLL, стр. 791-800. ACL, (2007)POSTER: Toward Automating the Generation of Malware Analysis Reports Using the Sandbox Logs., , и . CCS, стр. 1814-1816. ACM, (2016)Discovering similar malware samples using API call topics., , и . CCNC, стр. 140-147. IEEE, (2015)A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design., , и . AAAI, стр. 764-769. AAAI Press / The MIT Press, (2005)