Machine learningDeep learning / NLP / CV

Semi-supervised Doc2Vec

Semi-supervised Doc2Vec paplašina Le un Mikolova (2014) izstrādāto Paragraph Vector sistēmu, vienlaicīgi apmācot blīvus dokumentu ieguldotņus gan uz marķētiem, gan nemarķētiem korpusiem, izmantojot pieejamās klases etiķetes kā palīgsignālu, lai virzītu reprezentāciju uz uzdevumam atbilstošu struktūru, vienlaikus joprojām izmantojot pilnu nemarķēto kolekciju vispārināšanai.

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  1. Le, Q. V., & Mikolov, T. (2014). Distributed Representations of Sentences and Documents. Proceedings of the 31st International Conference on Machine Learning (ICML 2014), PMLR 32(2), 1188–1196. link
  2. Word2vec. Wikipedia. link

Kā citēt šo lapu

ScholarGate. (2026, June 3). Semi-supervised Paragraph Vector (Semi-supervised Doc2Vec). ScholarGate. https://scholargate.app/lv/deep-learning/semi-supervised-doc2vec

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ScholarGateSemi-supervised Doc2Vec (Semi-supervised Paragraph Vector (Semi-supervised Doc2Vec)). Izgūts 2026-06-15 no https://scholargate.app/lv/deep-learning/semi-supervised-doc2vec · Datu kopa: https://doi.org/10.5281/zenodo.20539026