找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Bayesian Analysis in Natural Language Processing, Second Edition; Shay Cohen Book 2019Latest edition Springer Nature Switzerland AG 2019

[复制链接]
查看: 48772|回复: 42
发表于 2025-3-21 19:59:16 | 显示全部楼层 |阅读模式
期刊全称Bayesian Analysis in Natural Language Processing, Second Edition
影响因子2023Shay Cohen
视频video
学科分类Synthesis Lectures on Human Language Technologies
图书封面Titlebook: Bayesian Analysis in Natural Language Processing, Second Edition;  Shay Cohen Book 2019Latest edition Springer Nature Switzerland AG 2019
影响因子.Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language. Since then, the use of statistical techniques in NLP has evolved in several ways. One such example of evolution took place in the late 1990s or early 2000s, when full-fledged Bayesian machinery was introduced to NLP. This Bayesian approach to NLP has come to accommodate various shortcomings in the frequentist approach and to enrich it, especially in the unsupervised setting, where statistical learning is done without target prediction examples...In this book, we cover the methods and algorithms that are needed to fluently read Bayesian learning papers in NLP and to do research in the area. These methods and algorithms are partially borrowed from both machine learning and statistics and are partially developed "in-house" in NLP. We cover inference techniques such as Markov chain Monte Carlo sampling and variational inference, Bayesian estimation, and nonparametric modeling. In response to rapid changes in the field, this second edition of the book includes a new chapter on representation learning and n
Pindex Book 2019Latest edition
The information of publication is updating

书目名称Bayesian Analysis in Natural Language Processing, Second Edition影响因子(影响力)




书目名称Bayesian Analysis in Natural Language Processing, Second Edition影响因子(影响力)学科排名




书目名称Bayesian Analysis in Natural Language Processing, Second Edition网络公开度




书目名称Bayesian Analysis in Natural Language Processing, Second Edition网络公开度学科排名




书目名称Bayesian Analysis in Natural Language Processing, Second Edition被引频次




书目名称Bayesian Analysis in Natural Language Processing, Second Edition被引频次学科排名




书目名称Bayesian Analysis in Natural Language Processing, Second Edition年度引用




书目名称Bayesian Analysis in Natural Language Processing, Second Edition年度引用学科排名




书目名称Bayesian Analysis in Natural Language Processing, Second Edition读者反馈




书目名称Bayesian Analysis in Natural Language Processing, Second Edition读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:34:07 | 显示全部楼层
Uday Athavankar,Arnab Mukherjeeare too many components in the model: much of the slack in the number of clusters will be used to represent the noise in the data, and create overly fine-grained clusters that should otherwise be merged together.
发表于 2025-3-22 00:56:33 | 显示全部楼层
发表于 2025-3-22 06:13:36 | 显示全部楼层
发表于 2025-3-22 11:18:41 | 显示全部楼层
1947-4040 , and nonparametric modeling. In response to rapid changes in the field, this second edition of the book includes a new chapter on representation learning and n978-3-031-01042-2978-3-031-02170-1Series ISSN 1947-4040 Series E-ISSN 1947-4059
发表于 2025-3-22 14:33:09 | 显示全部楼层
Bayesian Analysis in Natural Language Processing, Second Edition978-3-031-02170-1Series ISSN 1947-4040 Series E-ISSN 1947-4059
发表于 2025-3-22 19:03:37 | 显示全部楼层
https://doi.org/10.1007/978-1-4613-2173-6 a computer. As such, it borrows ideas from Artificial Intelligence, Linguistics, Machine Learning, Formal Language Theory and Statistics. In NLP, natural language is usually represented as written text (as opposed to speech signals, which are more common in the area of Speech Processing).
发表于 2025-3-23 01:06:02 | 显示全部楼层
Leonard Evans,Richard C. SchwingThis chapter is mainly intended to be used as a refresher on basic concepts in Probability and Statistics required for the full comprehension of this book. Occasionally, it also provides notation that will be used in subsequent chapters in this book.
发表于 2025-3-23 04:36:27 | 显示全部楼层
发表于 2025-3-23 07:17:27 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-29 09:06
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表