Results 121 to 130 of about 537,050 (171)

Heart disease prediction using hybrid TabNet architecture with stacked ensemble learning. [PDF]

Front Physiol
Yasmeen R, Khan L, Choi A.
europepmc   +1 more source

Physics-Aware Ensemble Learning for Superior Crop Recommendation in Smart Agriculture. [PDF]

Sensors (Basel)
Gunasekaran H, Ramalakshmi K, Debnath S, Swaminathan DK.   +3 more
europepmc   +1 more source

Comparative analysis of algorithmic approaches in ensemble learning: bagging vs. boosting. [PDF]

Sci Rep
Zhao H, Liu W, Wang Y, Wu L.
europepmc   +1 more source

Mung bean seed classification based on multimodal features and Kepler-optimized stacking ensemble learning model. [PDF]

PLoS One
Song S, Leng F, Fang M, An X, Cai Y.
europepmc   +1 more source

Ensemble learning for predicting microsatellite instability in colorectal cancer using pretreatment colonoscopy images and clinical data. [PDF]

Front Oncol
You J, Zhang S, Zhang J, Chen Y, Zhang M, Zhou C, Jiang B.   +6 more
europepmc   +1 more source

Multi-cohort ensemble learning framework for vaginal microbiome-based endometrial cancer detection. [PDF]

Front Cell Infect Microbiol
Dodani D, Talhouk A.
europepmc   +1 more source

Enhancing blockchain transaction classification with ensemble learning approaches.

Sci Rep
Panigrahi A, Pati A, Sahu B, Paul R, Nayak AK, Chowdhury S, Govindaraj R, Shreyas J.   +7 more
europepmc   +1 more source

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Transfer Learning and Ensemble Learning

2020
In this chapter, we start from transfer learning and introduce the relationship between different learners; we use ensemble learning to combine them together and hope to get a strong learner from a weak learner by changing the training dataset or adjusting parameters of networks. Our ultimate goal is to implement a robust and stable classifier.
openaire   +1 more source

Ensemble learning

Zhiyuan Liu, Ziyuan Gu, Pan Liu
  +8 more sources