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Pembelajaran Metrik Dalam Talian

Pembelajaran Metrik Dalam Talian (Online Metric Learning) menyesuaikan metrik jarak Mahalanobis secara inkremental apabila contoh berlabel baharu atau kekangan berpasangan tiba satu demi satu, tanpa menyimpan keseluruhan set data. Ia menggabungkan kecekapan pembelajaran dalam talian dengan kuasa perwakilan pembelajaran metrik, menjadikannya sesuai untuk persekitaran penstriman, berskala besar, atau yang sentiasa berubah di mana latihan semula dari awal adalah tidak praktikal.

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Sumber

  1. Shalev-Shwartz, S., Singer, Y., & Ng, A. Y. (2004). Online and batch learning of pseudo-metrics. Proceedings of the 21st International Conference on Machine Learning (ICML 2004), pp. 94. ACM. link
  2. Jin, R., Wang, S., & Zhou, Y. (2009). Regularized distance metric learning: Theory and algorithm. Advances in Neural Information Processing Systems (NIPS 2009), 22, 862–870. link

Cara memetik halaman ini

ScholarGate. (2026, June 3). Online Metric Learning (Incremental Distance Metric Learning from Streaming Data). ScholarGate. https://scholargate.app/ms/machine-learning/online-metric-learning

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ScholarGateOnline Metric Learning (Online Metric Learning (Incremental Distance Metric Learning from Streaming Data)). Dicapai 2026-06-15 daripada https://scholargate.app/ms/machine-learning/online-metric-learning · Set data: https://doi.org/10.5281/zenodo.20539026