找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Artificial Intelligence and Security; 7th International Co Xingming Sun,Xiaorui Zhang,Elisa Bertino Conference proceedings 2021 Springer Na

[復(fù)制鏈接]
樓主: Hemochromatosis
11#
發(fā)表于 2025-3-23 13:42:22 | 只看該作者
12#
發(fā)表于 2025-3-23 14:59:45 | 只看該作者
Fabrication and Characterization Methods,t although the under-sampling method slightly improves model performance, the different sampling methods do not have a substantial impact on the evaluation of immediate software defect prediction models.
13#
發(fā)表于 2025-3-23 19:05:10 | 只看該作者
https://doi.org/10.1007/978-3-642-33001-8 the superiority of the proposed scheme over other the traditional task computing scheme. That this scheme can effectively reduce the system energy cost and improve the solving efficiency as compared to the traditional task computing scheme, in terms of the solving efficiency.
14#
發(fā)表于 2025-3-23 23:08:06 | 只看該作者
https://doi.org/10.1007/978-981-10-6811-9re to improve service quality and reflect the value of data temperature. Experiments are performed to evaluate the proposed strategy, which can effectively reduce the total cost and improve data availability.
15#
發(fā)表于 2025-3-24 06:19:43 | 只看該作者
https://doi.org/10.1007/978-981-10-6811-9roduces the idea of machine learning into the filtering rules of the decision tree, and uses the optimized decision tree C4.5 algorithm to predict the optimal ranking of the firewall filtering rule table attributes, which improves the efficiency of the firewall and thus the throughputs of the firewall.
16#
發(fā)表于 2025-3-24 07:20:43 | 只看該作者
An Empirical Study on Data Sampling for Just-in-Time Defect Predictiont although the under-sampling method slightly improves model performance, the different sampling methods do not have a substantial impact on the evaluation of immediate software defect prediction models.
17#
發(fā)表于 2025-3-24 12:06:46 | 只看該作者
18#
發(fā)表于 2025-3-24 17:00:16 | 只看該作者
19#
發(fā)表于 2025-3-24 19:33:18 | 只看該作者
Firewall Filtering Technology and Application Based on Decision Treeroduces the idea of machine learning into the filtering rules of the decision tree, and uses the optimized decision tree C4.5 algorithm to predict the optimal ranking of the firewall filtering rule table attributes, which improves the efficiency of the firewall and thus the throughputs of the firewall.
20#
發(fā)表于 2025-3-24 23:21:09 | 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, 2025-10-8 13:11
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
淳安县| 天祝| 琼结县| 合山市| 株洲县| 沛县| 陵川县| 奉化市| 高唐县| 南乐县| 密山市| 同江市| 莒南县| 剑河县| 中山市| 阳泉市| 南部县| 江阴市| 潜江市| 闻喜县| 云梦县| 新源县| 邯郸县| 太湖县| 孝昌县| 大冶市| 永新县| 东光县| 明水县| 靖西县| 金湖县| 永宁县| 肥乡县| 仙游县| 呈贡县| 台中市| 宁夏| 贵南县| 来安县| 利津县| 新郑市|