بدائل البحث:
algorithm ai » algorithm i (توسيع البحث), algorithm _ (توسيع البحث), algorithm b (توسيع البحث)
algorithm a » algorithm _ (توسيع البحث), algorithm b (توسيع البحث), algorithms _ (توسيع البحث)
ai function » api function (توسيع البحث), i function (توسيع البحث), gi function (توسيع البحث)
a function » _ function (توسيع البحث)
algorithm ai » algorithm i (توسيع البحث), algorithm _ (توسيع البحث), algorithm b (توسيع البحث)
algorithm a » algorithm _ (توسيع البحث), algorithm b (توسيع البحث), algorithms _ (توسيع البحث)
ai function » api function (توسيع البحث), i function (توسيع البحث), gi function (توسيع البحث)
a function » _ function (توسيع البحث)
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ROI setting diagram for AI calculation and optimization verification results.
منشور في 2019الموضوعات: -
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datasheet1_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.pdf
منشور في 2021"…We investigate the shape of a discrete algorithmic space when performing regression or classification using a loss function parametrized by algorithmic complexity, demonstrating that the property of differentiation is not required to achieve results similar to those obtained using differentiable programming approaches such as deep learning. …"
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datasheet2_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.zip
منشور في 2021"…We investigate the shape of a discrete algorithmic space when performing regression or classification using a loss function parametrized by algorithmic complexity, demonstrating that the property of differentiation is not required to achieve results similar to those obtained using differentiable programming approaches such as deep learning. …"
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datasheet1_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.pdf
منشور في 2021"…We investigate the shape of a discrete algorithmic space when performing regression or classification using a loss function parametrized by algorithmic complexity, demonstrating that the property of differentiation is not required to achieve results similar to those obtained using differentiable programming approaches such as deep learning. …"
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datasheet2_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.zip
منشور في 2021"…We investigate the shape of a discrete algorithmic space when performing regression or classification using a loss function parametrized by algorithmic complexity, demonstrating that the property of differentiation is not required to achieve results similar to those obtained using differentiable programming approaches such as deep learning. …"
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Synthetic Realness: Authenticity as Algorithm (Reality Drift Working Paper Series, 2025)
منشور في 2025"…<p dir="ltr">This paper explores the concept of synthetic realness: how authenticity is increasingly engineered by algorithms until the line between real and fake becomes functionally irrelevant. …"
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GeoUrbNet: A Multi-Source Graph-Based Framework and Dataset for Urban Building Function Analysis
منشور في 2025"…<p dir="ltr">This project presents a multi-source urban building function analysis framework integrating shapefile-based geometry, remote sensing imagery, street-view semantics, POIs, and population density. …"
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