zh:courses:ml2025:ch02
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zh:courses:ml2025:ch02 [2025/11/20 11:16] pzczxs [推荐读物] |
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| -Jesse Davis and Mark Goadrich, 2006. [[http://dl.acm.org/citation.cfm?id=1143874|The Relationship between Precision-Recall and ROC Curves]]. //ICML//, pp. 233-240. | -Jesse Davis and Mark Goadrich, 2006. [[http://dl.acm.org/citation.cfm?id=1143874|The Relationship between Precision-Recall and ROC Curves]]. //ICML//, pp. 233-240. | ||
| -Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean, 2013. Distributed Representations of Words and Phrases and their Compositionality. //Advances in Neural Information Processing Systems//, Vol. 13, pp. 3111-3119. | -Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean, 2013. Distributed Representations of Words and Phrases and their Compositionality. //Advances in Neural Information Processing Systems//, Vol. 13, pp. 3111-3119. | ||
| + | -Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean, 2013. Efficient Estimation of Word Representations in Vector Space. //Proceedings of Workshop at ICLR//. | ||
| + | -Yoav Goldberg and Omer Levy, 2014. [[https://doi.org/10.48550/arXiv.1402.3722|word2vec Explained: Deriving Mikolov et al.'s Negative-Sampling Word-Embedding Method]]. arXiv:1402.3722. | ||
| + | -Xin Rong, 2014. [[https://doi.org/10.48550/arXiv.1411.2738|word2vec Parameter Learning Explained]]. arXiv:1411.2738 | ||
| + | -Jeffrey Pennington, Richard Socher, and Christopher D. Manning, 2014. [[https://doi.org/10.3115/v1/D14-1162|GloVe: Global Vectors for Word Representation]]. //Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing//, pp. 1532-1543. | ||
| -Shuo Xu, 2018. [[https://doi.org/10.1177/0165551516677946|Bayesian Naïve Bayes Classifiers to Text Classification]]. //Journal of Information Science//, Vol. 44, No. 1, pp. 48-59. ''[[https://github.com/pzczxs/NaiveBayes|code]]'' | -Shuo Xu, 2018. [[https://doi.org/10.1177/0165551516677946|Bayesian Naïve Bayes Classifiers to Text Classification]]. //Journal of Information Science//, Vol. 44, No. 1, pp. 48-59. ''[[https://github.com/pzczxs/NaiveBayes|code]]'' | ||
| -Xin An, Mengmeng Zhang, and Shuo Xu, 2022. [[https://doi.org/10.1371/journal.pone.0273725|An Active Learning based Approach for Screening Scholarly Articles about the Origins of SARS-CoV-2]]. //PLoS ONE//, Vol. 17, No. 9, pp. e0273725. [[https://github.com/pzczxs/COVID-Origin|Dataset]] | -Xin An, Mengmeng Zhang, and Shuo Xu, 2022. [[https://doi.org/10.1371/journal.pone.0273725|An Active Learning based Approach for Screening Scholarly Articles about the Origins of SARS-CoV-2]]. //PLoS ONE//, Vol. 17, No. 9, pp. e0273725. [[https://github.com/pzczxs/COVID-Origin|Dataset]] | ||
| ~~DISCUSSION~~ | ~~DISCUSSION~~ | ||
zh/courses/ml2025/ch02.1763608604.txt.gz · 最后更改: 2025/11/20 11:16 由 pzczxs