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: Housing Markets and Housing Institutions: An International Comparison; Bj?rn H?rsman,John M. Quigley Book 1991 Kluwer Academic Publishers

[復(fù)制鏈接]
樓主: digestive-tract
31#
發(fā)表于 2025-3-26 22:32:09 | 只看該作者
32#
發(fā)表于 2025-3-27 01:18:51 | 只看該作者
33#
發(fā)表于 2025-3-27 07:05:30 | 只看該作者
The Vienna Housing Market: Structure, Problems, and Policies,on has a strong tradition in Austria. Rent control and tenant security legislation, in varying forms, have been continuing features of government housing policy since the First World War, as have government incentives for new housing construction.
34#
發(fā)表于 2025-3-27 11:24:03 | 只看該作者
Glasgow: From Mean City to Miles Better,g conditions. More recently the city has gained a reputation for innovative rehabilitation programs. With a current population of just under three-quarters of a million people, Glasgow forms the core of a relatively large metropolitan area. The functional metropolitan area, which is roughly cotermin
35#
發(fā)表于 2025-3-27 17:29:24 | 只看該作者
er, GAEs tend to over-emphasize proximity information at the expense of structural information, leading to relatively poor performance on some downstream tasks?such as node classification. To address this issue, we propose a?novel GAE framework via community, named Community aware Masked?Graph AutoE
36#
發(fā)表于 2025-3-27 21:37:55 | 只看該作者
37#
發(fā)表于 2025-3-27 22:27:06 | 只看該作者
Alex Anas,Ulf Jirlow,Bj?rn H?rsman,Folke Snickarsods. Recent years have witnessed a surge in datasets and computational methods for detecting abusive language, reflecting the growing interest in combating online abuse. Deep learning, in particular, has emerged as a powerful tool for addressing this pervasive issue. This paper presents a novel cont
38#
發(fā)表于 2025-3-28 03:44:50 | 只看該作者
39#
發(fā)表于 2025-3-28 06:37:49 | 只看該作者
Leo van Wissen,Peter Nijkamp,Annemarie Rimaods. Recent years have witnessed a surge in datasets and computational methods for detecting abusive language, reflecting the growing interest in combating online abuse. Deep learning, in particular, has emerged as a powerful tool for addressing this pervasive issue. This paper presents a novel cont
40#
發(fā)表于 2025-3-28 13:50:44 | 只看該作者
John A. Hird,John M. Quigley,Michael L. Wiseman, etc.. Serving as a low-latency data source, they provide a crucial avenue for understanding the progression and consequences of disasters. Therefore, recognizing these incidents from images on social media is a highly valuable research problem. Traditional methods involve collecting raw images fro
 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(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 12:55
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
阿勒泰市| 玉山县| 靖宇县| 丰镇市| 新邵县| 梨树县| 霍州市| 泽普县| 习水县| 凤庆县| 汨罗市| 云阳县| 邳州市| 东源县| 曲阳县| 喀什市| 舟山市| 桂林市| 呼伦贝尔市| 上林县| 合阳县| 斗六市| 黎川县| 宁远县| 建水县| 吉林省| 习水县| 夏邑县| 土默特左旗| 罗田县| 临桂县| 德保县| 广宁县| 舟曲县| 额济纳旗| 河曲县| 丽水市| 淮安市| 郸城县| 建瓯市| 同江市|