找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Web and Big Data; 7th International Jo Xiangyu Song,Ruyi Feng,Geyong Min Conference proceedings 2024 The Editor(s) (if applicable) and The

[復(fù)制鏈接]
樓主: 導(dǎo)彈
21#
發(fā)表于 2025-3-25 03:21:06 | 只看該作者
,Truth Discovery Against Disguised Attack Mechanism in?Crowdsourcing,moid function. In the task allocation phase, the Weighted Arithmetic Mean (WAM) is used to estimate the allocation probability of golden tasks to avoid the shortage of golden tasks. Extensive experiments on real-world datasets and synthetic datasets demonstrate that our method is effective against d
22#
發(fā)表于 2025-3-25 10:28:32 | 只看該作者
Distributed Knowledge Graph Query Acceleration Algorithm, phase, which does not achieve good parallelism. To address these issues, we propose a distributed framework for offline index construction and online SPARQL query processing framework to achieve parallel accelerated processing. Our approach can more efficiently filter candidate solutions that do no
23#
發(fā)表于 2025-3-25 15:17:00 | 只看該作者
,Truth Discovery of?Source Dependency Perception in?Dynamic Scenarios,in dynamic scenarios, and propose an incremental model based on source dependency detection, namely SDPTD, which can dynamically update object truth values and source weights and detect source dependencies when new data arrive. Experiments on two real-world datasets and synthetic datasets demonstrat
24#
發(fā)表于 2025-3-25 18:35:36 | 只看該作者
25#
發(fā)表于 2025-3-25 22:47:47 | 只看該作者
,Approximate Continuous Skyline Queries over?Memory Limitation-Based Streaming Data,-adaptive .rror-based .pproximate .kyline). It can self-adaptively adjust . based on the distribution of streaming data, and achieve the goal of supporting .-. over memory limitation-based streaming data. Theoretical analysis indicates that even in the worst case, both the running cost and space cos
26#
發(fā)表于 2025-3-26 01:52:04 | 只看該作者
27#
發(fā)表于 2025-3-26 04:30:59 | 只看該作者
,Identifying Backdoor Attacks in?Federated Learning via?Anomaly Detection,nts. Concretely, we first segment the model gradients into fragment vectors that represent small portions of model parameters. We then employ anomaly detection to locate the distributionally skewed fragments and prune the participants with the most outliers. We embody the findings in a novel defense
28#
發(fā)表于 2025-3-26 10:43:34 | 只看該作者
29#
發(fā)表于 2025-3-26 16:12:46 | 只看該作者
,Approximate Continuous Skyline Queries over?Memory Limitation-Based Streaming Data,-adaptive .rror-based .pproximate .kyline). It can self-adaptively adjust . based on the distribution of streaming data, and achieve the goal of supporting .-. over memory limitation-based streaming data. Theoretical analysis indicates that even in the worst case, both the running cost and space cos
30#
發(fā)表于 2025-3-26 19:46:49 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 16:01
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
滁州市| 阿克陶县| 增城市| 奎屯市| 昂仁县| 小金县| 仙游县| 汉源县| 黄大仙区| 韶山市| 汉中市| 黎城县| 邹城市| 灌云县| 静乐县| 永安市| 比如县| 高邮市| 安庆市| 蒲江县| 双鸭山市| 邢台县| 九江市| 砀山县| 文水县| 竹山县| 屯留县| 佛教| 定西市| 凤山市| 双桥区| 南乐县| 体育| 轮台县| 嵩明县| 怀安县| 那坡县| 湛江市| 喀什市| 盐津县| 普安县|