Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity - 代码天地

Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity

业界资讯 2023-08-25 19:54:18 阅读次数: 0

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转载自blog.csdn.net/WitsMakeMen/article/details/132278831

Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity

Determinantal point process 入门

Chapter 8 (Bayesian Statistical Inference): The MAP Rule, Point Estimation, and Hypothesis Testing

Determinantal Point Processes(DPP)算法文献综述

【FIRE】Fast Incremental Recommendation with Graph Signal Processing

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【PAT】A1129 Recommendation System （25point（s））

Inference

Fast Winding Number Inclusion of a Point in a Polygon

Greedy?

腾讯开源分布式数据科学组件：Fast-Causal-Inference

CVPR 2020——Grid-GCN for Fast and Scalable Point Cloud Learning

【论文复现】——A Fast Point Clouds Registration Algorithm for Laser Scanners

【论文复现】——FEC: Fast Euclidean Clustering for Point Cloud Segmentation

Map集合Fail-Fast机制

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improve coding

fast

快速点特征直方图（FPFH）描述符（Fast Point Feature Histograms (FPFH) descriptors）

【点云识别】Grid-GCN for Fast and Scalable Point Cloud Learning (CVPR 2020)

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“Fast 3D Line Segment Detection From Unorganized Point Cloud“ ---深度解读

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论文速读系列二：YOLO3D、PIXOR、HDNET、Voxel-FPN、Fast Point RCNN

论文阅读：SalsaNext: Fast, Uncertainty-aware Semantic Segmentationof LiDAR Point Clouds for Autonomous D

论文速读 -- SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving

Fast and Accurate Ground Plane Detection for the Visually Impaired from 3D Organized Point Clouds

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