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Updated: Jun 3, 2025

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
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对于室内可见光定位的高斯过程回归模型的数据高效训练.

Jie Wu1, Rui Xu1, Runhui Huang1

  • 1South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou 510006, China.

Sensors (Basel, Switzerland)
|January 8, 2025
PubMed
概括

一种新的数据效率高的训练方法,Q-AL-GPR,使用高斯过程回归 (GPR) 来增强可见光定位 (VLP) 系统. 这种主动学习方法显著提高了定位准确性,同时减少了培训数据需求.

关键词:
高斯过程回归 (GPR)积极学习 (AL)监督学习 (SL) 监督学习培训培训培训培训培训培训培训可见光定位 (VLP) 是指可见光的定位.

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