Machine learningMachine learning

Bajezijanski LightGBM

Bajezijanski LightGBM kombinuje LightGBM — visoko efikasan histogramski okvir za pojačavanje gradijenta — sa bajezijanskom optimizacijom hiperparametara. Umesto iscrpnog pretraživanja po mreži ili slučajnog pretraživanja, verovatnosni model zamenik vodi pretragu za optimalne hiperparametre, dramatično smanjujući broj skupih evaluacija modela potrebnih za postizanje snažnih prediktivnih performansi.

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Izvori

  1. Ke, G., Meng, Q., Finley, T., Wang, T., Chen, W., Ma, W., Ye, Q., & Liu, T.-Y. (2017). LightGBM: A highly efficient gradient boosting decision tree. In Advances in Neural Information Processing Systems, 30, 3146–3154. link
  2. Snoek, J., Larochelle, H., & Adams, R. P. (2012). Practical Bayesian optimization of machine learning algorithms. In Advances in Neural Information Processing Systems, 25, 2951–2959. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). LightGBM with Bayesian Hyperparameter Optimization. ScholarGate. https://scholargate.app/sr/machine-learning/bayesian-lightgbm

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ScholarGateBayesian LightGBM (LightGBM with Bayesian Hyperparameter Optimization). Preuzeto 2026-06-15 sa https://scholargate.app/sr/machine-learning/bayesian-lightgbm · Skup podataka: https://doi.org/10.5281/zenodo.20539026