error-resilient aggregation approaches preserving
11 zkrpChain Towards multi-party privacy-preserving data auditing for consortium blockchains based on zero-knowledge range proofs
   : name ......
RxJS 系列 – Mathematical and Aggregate Operators
前言 前几篇介绍过了 Creation Operators Filtering Operators Join Creation Operators Error Handling Operators Transformation Operators Join Operators Utility Ope ......
mysql报错 1140 - In aggregated query without GROUP BY, expression #1 of SELECT list contains nonaggregated column 'a.user_name'; this is incompatible with sql_mode=only_full_group_by
表结构如下： CREATE TABLE `user` ( `id` bigint NOT NULL, `user_name` varchar(255) DEFAULT NULL, `password` varchar(255) DEFAULT NULL, `create_time` datetime ......
Measuring the diversity of recommendations: a preference-aware approach for evaluating and adjusting diversity
Meymandpour R. and Davis J. G. Measuring the diversity of recommendations: a preference-aware approach for evaluating and adjusting diversity. Knowled ......
Jmeter Aggregate report（聚合报告）
本文主要介绍了聚合报告的一些参数信息。 Jmeter的Aggregate report（聚合报告）比较重要的参数 报告的保存文件格式为jtl。 time stamp：请求发出的绝对时间 elapsed：响应时间 label：请求的标签 responseCode：返回码 responseMessage ......
论文翻译：2020：ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification
论文地址：ECAPA-TDNN：在基于TDNN的说话人验证中强调通道注意、传播和聚集 论文代码：https://github.com/TaoRuijie/ECAPA-TDNN 引用格式：Desplanques B, Thienpondt J, Demuynck K. Ecapa-tdnn: Emph ......
迁移学习（MixMatch）《MixMatch: A Holistic Approach to Semi-Supervised Learning》
论文信息 论文标题：MixMatch: A Holistic Approach to Semi-Supervised Learning论文作者：David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Ol ......
【Surface Detection】Segmentation-Based Deep-Learning Approach for Surface-Defect Detection
物体表面缺陷检测现状 传统机器学习局限性 传统机器学习方法对于特定的算法只能解决特定的问题，不够灵活，无法快速适应新产品； 不同的问题有不同的特征，当需要解决新问题时，需要重新设计特征，开发周期长； 深度学习遇到的问题 训练数据数量需求大； 标注精度、耗时需求严格； 计算能力需求高。 该篇paper ......
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion 小样本知识图谱补全论文解读
小样本知识图补全——关系学习。论文利用三元组的邻域信息，提升模型的关系表示学习，来实现小样本的链接预测。主要应用的思想和模型包括：GAT（图注意力神经网络）、TransH、SLTM、Model-Agnostic Meta-Learning (MAML)。 论文地址：https://arxiv.org ......