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  • 1-5 ل  5 نتائج ل ""feature importance""

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Collection : Universite De Lyon
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Conference

Combining SHAP-driven Co-clustering and Shallow Decision Trees to Explain XGBoost

Subjects: Explainable AI; SHAP values; Co-clusteringPise; Italy

  • Source: LNAI Springer ; 27th International Conference Discovery Science (DS'24) ; https://hal.science/hal-04809871 ; 27th International Conference Discovery Science (DS'24), 2024, Pise, Italy

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Academic Journal

The impact of feature representation on the accuracy of photonic neural networks

Subjects: [SPI]Engineering Sciences [physics]; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

  • Source: ISSN: 2770-9019 ; APL Machine Learning ; https://hal.science/hal-04739864 ; APL Machine Learning, 2024, 2 (3), ⟨10.1063/5.0226172⟩.

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Conference

Multi-View Self-Attention for Regression Domain Adaptation with Feature Selection

Subjects: Domain Adaptation; Feature Selection; Multi-viewNew Delhi; India

  • Source: Lecture Notes in Computer Science ; 29th International Conference on Neural Information Processing ; https://hal.science/hal-04230643 ; 29th International Conference on Neural Information Processing,

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Academic Journal

On Machine Learning-Driven Surrogates for Sound Transmission Loss Simulations

Subjects: Physics-Guided Features; Surrogate; Machine Learning

  • Source: ISSN: 2076-3417.

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Dissertation/ Thesis

Ensemble multi-label learning in supervised and semi-supervised settings ; Apprentissage multi-label ensembliste dans le context supervisé et semi-supervisé

Subjects: Multi-label classification; Ensemble models; Semi-supervised learning

  • Source: https://theses.hal.science/tel-01736344 ; Artificial Intelligence [cs.AI]. Université de Lyon, 2017. English. ⟨NNT : 2017LYSE1333⟩.

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  • 1-5 ل  5 نتائج ل ""feature importance""