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: Reinforcement Learning for Adaptive Dialogue Systems; A Data-driven Method Verena Rieser,Oliver Lemon Book 2011 Springer-Verlag Berlin Heid

[復(fù)制鏈接]
查看: 46438|回復(fù): 35
樓主
發(fā)表于 2025-3-21 18:34:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Reinforcement Learning for Adaptive Dialogue Systems
副標(biāo)題A Data-driven Method
編輯Verena Rieser,Oliver Lemon
視頻videohttp://file.papertrans.cn/826/825937/825937.mp4
概述A new methodology for developing spoken dialogue systems is described in detail.A research guide for students and researchers.This work provides insights, lessons, and inspiration for future research.
叢書名稱Theory and Applications of Natural Language Processing
圖書封面Titlebook: Reinforcement Learning for Adaptive Dialogue Systems; A Data-driven Method Verena Rieser,Oliver Lemon Book 2011 Springer-Verlag Berlin Heid
描述.The past decade has seen a revolution in the field of spoken dialogue systems. As in other areas of Computer Science and Artificial Intelligence, data-driven methods are now being used to drive new methodologies for system development and evaluation. .This book is a unique contribution to that ongoing change. A new ?methodology for developing spoken dialogue systems is described in detail. The journey starts and ends with human behaviour in interaction, and explores methods for learning from the data, for building simulation environments for training and testing systems, and for evaluating the results. The detailed material covers: Spoken and Multimodal dialogue systems, Wizard-of-Oz data collection, User Simulation methods, Reinforcement Learning, and Evaluation methodologies. .The book is a research guide for students and researchers with a background in Computer Science, AI, or Machine Learning. It navigates through a detailed case study in data-driven methods for development and evaluation of spoken dialogue systems. Common challenges associated with this approach are discussed and example solutions are provided. This work provides insights, lessons, and inspiration for future
出版日期Book 2011
關(guān)鍵詞68-XX, 68Txx, 68T05, 68T50, 68T37, 68T42; Machine Learning; Spoken Dialogue Systems; User simulation
版次1
doihttps://doi.org/10.1007/978-3-642-24942-6
isbn_softcover978-3-642-43984-1
isbn_ebook978-3-642-24942-6Series ISSN 2192-032X Series E-ISSN 2192-0338
issn_series 2192-032X
copyrightSpringer-Verlag Berlin Heidelberg 2011
The information of publication is updating

書目名稱Reinforcement Learning for Adaptive Dialogue Systems影響因子(影響力)




書目名稱Reinforcement Learning for Adaptive Dialogue Systems影響因子(影響力)學(xué)科排名




書目名稱Reinforcement Learning for Adaptive Dialogue Systems網(wǎng)絡(luò)公開度




書目名稱Reinforcement Learning for Adaptive Dialogue Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Reinforcement Learning for Adaptive Dialogue Systems被引頻次




書目名稱Reinforcement Learning for Adaptive Dialogue Systems被引頻次學(xué)科排名




書目名稱Reinforcement Learning for Adaptive Dialogue Systems年度引用




書目名稱Reinforcement Learning for Adaptive Dialogue Systems年度引用學(xué)科排名




書目名稱Reinforcement Learning for Adaptive Dialogue Systems讀者反饋




書目名稱Reinforcement Learning for Adaptive Dialogue Systems讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:57:18 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:59:48 | 只看該作者
地板
發(fā)表于 2025-3-22 07:24:08 | 只看該作者
Verena Rieser,Oliver Lemon. Auf diese Weise sind in den L?ndern unterschiedliche Regulierungsmodelle und Industriestrukturen entstanden und erhalten geblieben. Durch die Entwicklung der letzten Jahre wird diese Situation zunehmend in Frage gestellt werden. Es gibt einen weltweiten Trend zur Liberalisierung der Telekommunikat
5#
發(fā)表于 2025-3-22 12:08:46 | 只看該作者
6#
發(fā)表于 2025-3-22 15:15:03 | 只看該作者
7#
發(fā)表于 2025-3-22 17:06:41 | 只看該作者
nd Japan wurde provozierend — aber ernst gemeint — festgestellt, da? die europ?ischen V?lker konservativ seien und eine neue Technologie erst nach einer langen Zeit des Ausprobierens akzeptierten. Umgekehrt w?ren die Amerikaner voll von Pioniergeist und lebhaft an jeglicher technischer Neuentwicklun
8#
發(fā)表于 2025-3-22 22:12:42 | 只看該作者
9#
發(fā)表于 2025-3-23 03:01:08 | 只看該作者
10#
發(fā)表于 2025-3-23 06:16:19 | 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 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, 2025-10-8 14:26
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
方城县| 曲水县| 贵德县| 柘荣县| 黄石市| 宣汉县| 元朗区| 印江| 多伦县| 浦江县| 农安县| 宿松县| 铁力市| 孝义市| 鄯善县| 新龙县| 重庆市| 泸溪县| 东阳市| 曲靖市| 丹江口市| 谷城县| 饶阳县| 宜川县| 卫辉市| 卓尼县| 公主岭市| 西乌| 汉寿县| 长治市| 昆山市| 兴业县| 张家口市| 金坛市| 丹江口市| 河源市| 炎陵县| 崇仁县| 株洲县| 新余市| 成武县|