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C2PAx: Complexity-Aware Constant Parameter Approximation for Energy-Efficient Tree-Based Machine Learning Accelerators

Research article (IEEE Transactions on Circuits and Systems I Regular Papers, 2022) · cited 18× · AI/ML
academia openalex:W4289950746
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C2PAx: Complexity-Aware Constant Parameter Approximation for Energy-Efficient Tree-Based Machine Learning Accelerators

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C2PAx: Complexity-Aware Constant Parameter Approximation for Energy-Efficient Tree-Based Machine Learning Accelerators is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). C2PAx: Complexity-Aware Constant Parameter Approximation for Energy-Efficient Tree-Based Machine Learning Accelerators. Retrieved May 24, 2026, from https://4ort.xyz/entity/c2pax-complexity-aware-constant-parameter-approximation-for-energy-efficient-tree-based-machine-learning-accelerators
MLA “C2PAx: Complexity-Aware Constant Parameter Approximation for Energy-Efficient Tree-Based Machine Learning Accelerators.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/c2pax-complexity-aware-constant-parameter-approximation-for-energy-efficient-tree-based-machine-learning-accelerators.
BibTeX @misc{4ortxyz_c2pax-complexity-aware-constant-parameter-approximation-for-energy-efficient-tree-based-machine-learning-accelerators_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{C2PAx: Complexity-Aware Constant Parameter Approximation for Energy-Efficient Tree-Based Machine Learning Accelerators}}, year = {2026}, url = {https://4ort.xyz/entity/c2pax-complexity-aware-constant-parameter-approximation-for-energy-efficient-tree-based-machine-learning-accelerators}, note = {Accessed: 2026-05-24}}
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