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: Hybrid Artificial Intelligent Systems; 15th International C Enrique Antonio de la Cal,José Ramón Villar Flecha Conference proceedings 2020

[復(fù)制鏈接]
樓主: exposulate
11#
發(fā)表于 2025-3-23 09:56:45 | 只看該作者
12#
發(fā)表于 2025-3-23 14:09:13 | 只看該作者
Hybrid Artificial Intelligent Systems978-3-030-61705-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
13#
發(fā)表于 2025-3-23 18:50:53 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/h/image/430056.jpg
14#
發(fā)表于 2025-3-23 22:40:22 | 只看該作者
15#
發(fā)表于 2025-3-24 06:23:45 | 只看該作者
Enrique Antonio de la Cal,José Ramón Villar Flecha
16#
發(fā)表于 2025-3-24 07:30:04 | 只看該作者
17#
發(fā)表于 2025-3-24 14:09:42 | 只看該作者
et user, and propose a user-level interest preference based on attention mechanism, which can obtain more accurate user preference results. In addition, a novel TDP_HC algorithm is designed to segment time dynamically. Based on the partial order relationship, we propose two interpretable methods to
18#
發(fā)表于 2025-3-24 15:58:06 | 只看該作者
Kyung-Hyun Lim,Jin-Young Kim,Sung-Bae Chohastic passengers’ destination distribution based on the observation that the distribution has obvious periodicity and randomicity. We validate our method based on extensive experiments, using AFC data and weather data in Shenzhen, China over two years. The evaluation results show that our approach
19#
發(fā)表于 2025-3-24 21:32:51 | 只看該作者
Eduardo C. Garrido-Merchán,Cristina Puente,Rafael Palacioshastic passengers’ destination distribution based on the observation that the distribution has obvious periodicity and randomicity. We validate our method based on extensive experiments, using AFC data and weather data in Shenzhen, China over two years. The evaluation results show that our approach
20#
發(fā)表于 2025-3-25 01:49:06 | 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, 2025-10-7 00:41
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
襄城县| 大理市| 赤水市| 勃利县| 盐源县| 小金县| 仁化县| 大冶市| 徐汇区| 疏勒县| 甘南县| 青铜峡市| 玉林市| 正定县| 莒南县| 阿图什市| 手游| 江阴市| 得荣县| 静宁县| 涡阳县| 平南县| 贵港市| 大新县| 来宾市| 西华县| 株洲市| 龙州县| 内黄县| 余干县| 新田县| 江山市| 临汾市| 治多县| 西峡县| 松江区| 新龙县| 张家港市| 延川县| 高陵县| 龙海市|