Optimized algorithm framework diagram. by Xutao Liu (13006965)

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Two-stage object detection algorithm process. by Xutao Liu (13006965)

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Functions and techniques of adolescent health Latin dance teaching system. by Xutao Liu (13006965)

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Specific process of one-stage object detection algorithm. by Xutao Liu (13006965)

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Fig 9 - by Xutao Liu (13006965)

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Fig 10 - by Xutao Liu (13006965)

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Feature subset search results. by Xutao Liu (13006965)

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Experimental environment. by Xutao Liu (13006965)

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Optimized system structure. by Xutao Liu (13006965)

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The basic framework of dual flow networks. by Xutao Liu (13006965)

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Fig 4 - by Xutao Liu (13006965)

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S1 Data - by Xutao Liu (13006965)

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Image convolution calculation process. by Xutao Liu (13006965)

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SPIRIT diagram showing the schedule of enrollment, allocation, interventions, and assessments of this study. by Reinhard Chun Wang Chau (12733662)

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datasheet1_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.pdf by Santiago Hernández-Orozco (5070209)

“…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. …”

datasheet2_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.zip by Santiago Hernández-Orozco (5070209)

“…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. …”

datasheet1_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.pdf by Santiago Hernández-Orozco (5070209)

“…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. …”

datasheet2_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.zip by Santiago Hernández-Orozco (5070209)

“…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. …”

Flowchart showing the basic functioning of our implementation of the algorithm described in this paper. by Pablo Rodríguez-Sánchez (6711683)

“…<p>Flowchart showing the basic functioning of our implementation of the algorithm described in this paper.…”

Datasheet1_Gait analysis comparison between manual marking, 2D pose estimation algorithms, and 3D marker-based system.pdf by Dimitrios Menychtas (16935831)