找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Computational Collective Intelligence. Technologies and Applications; 4th International Co Ngoc-Thanh Nguyen,Kiem Hoang,Piotr J?drzejowicz

[復(fù)制鏈接]
樓主: FAULT
21#
發(fā)表于 2025-3-25 07:15:03 | 只看該作者
https://doi.org/10.1007/978-1-4899-1615-0pment phases. In particular, the testing and debugging phases, more precisely, how to chose those tests more suitable to be applied, is simplified since tests are automatically extracted from the specification.
22#
發(fā)表于 2025-3-25 08:38:04 | 只看該作者
https://doi.org/10.1007/978-3-8349-9809-5 with the Share-Per-Link(SPL) architecture where partial wavelength converters are distributed at each output port. A continuous-time Markov chain model is proposed to analyze the performance of OBS core nodes operated with the deflection routing rule.
23#
發(fā)表于 2025-3-25 14:04:02 | 只看該作者
24#
發(fā)表于 2025-3-25 19:29:46 | 只看該作者
OCE: An Online Colaborative Editorpment phases. In particular, the testing and debugging phases, more precisely, how to chose those tests more suitable to be applied, is simplified since tests are automatically extracted from the specification.
25#
發(fā)表于 2025-3-25 23:55:53 | 只看該作者
26#
發(fā)表于 2025-3-26 01:25:44 | 只看該作者
0302-9743 proceedings of the 4th International Conference on Computational Collective Intelligence, ICCCI, held in Ho Chi Minh City, Vietnam, in November 2012..The 113 revised full papers presented were carefully reviewed and selected from 397 submissions. The papers are organized in topical sections on (Par
27#
發(fā)表于 2025-3-26 06:06:52 | 只看該作者
Tarski, Truth, and Natural Languages of current database size. Therefore, we propose an Efficient Frequent Pattern Mining Model (EFP-M2) to mine the frequent patterns in timely manner. The result shows that the algorithm in EFP-M2l is outperformed at least at 2 orders of magnitudes against the benchmarked FP-Growth.
28#
發(fā)表于 2025-3-26 11:55:34 | 只看該作者
29#
發(fā)表于 2025-3-26 12:56:51 | 只看該作者
EFP-M2: Efficient Model for Mining Frequent Patterns in Transactional Database of current database size. Therefore, we propose an Efficient Frequent Pattern Mining Model (EFP-M2) to mine the frequent patterns in timely manner. The result shows that the algorithm in EFP-M2l is outperformed at least at 2 orders of magnitudes against the benchmarked FP-Growth.
30#
發(fā)表于 2025-3-26 18:52:19 | 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-19 20:36
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
蛟河市| 元谋县| 定西市| 拉萨市| 呼和浩特市| 玉环县| 彩票| 页游| 乌拉特中旗| 张家界市| 万山特区| 女性| 隆回县| 卢湾区| 盐源县| 三穗县| 松原市| 文登市| 临泽县| 五大连池市| 朔州市| 宾川县| 紫阳县| 民和| 梁河县| 泌阳县| 阳曲县| 遵义市| 碌曲县| 五常市| 海伦市| 隆林| 龙游县| 平潭县| 金寨县| 东乌珠穆沁旗| 锦州市| 扎囊县| 五河县| 肃宁县| 江安县|