Salz, Rich rsalz at akamai.com
Fri Jul 3 12:51:19 UTC 2020- Previous message: OpenSSL 1.1 result in error: variable has initializer but incomplete type static BIO_METHOD
- Next message:Goodbye
- Messages sorted by: [ date ] [ thread ] [ subject ] [ author ]
* topic: Change some words by accepting PR#12089 * * 4 against, 3 for, no absensions I am at a loss for words. I can’t contribute to a project that feels this way. The OMC (list at [1], a picture of some of them at [2] although it includes non-OMC members) is, in my view, on the wrong side of history. I hope that in time, the four men who voted against it will develop more – what, empathy? – and that sometime in the future this PR [3], or similar, will be merged. Until then, I will do what I have to in order to insure that Akamai’s needs for FIPS are met and once 3.0 is released, I will be fully applying my modest talents elsewhere. I have closed all non-FIPS PR’s, and as soon as I see this message in my inbox, I will unsubscribe from this list. I can be reached as rsalz at akamai.com. [1] <a href="https://www.openssl.org/community/omc.html">https://www.openssl.org/community/omc.html</a> [2] <a href="https://www.openssl.org/blog/blog/2019/05/23/f2f-committers-day/">https://www.openssl.org/blog/blog/2019/05/23/f2f-committers-day/</a> [3] <a href="https://github.com/openssl/openssl/pull/12089">https://github.com/openssl/openssl/pull/12089</a> -------------- next part -------------- An HTML attachment was scrubbed... URL: <<a href="https://mta.openssl.org/pipermail/openssl-users/attachments/20200703/33db0fee/attachment.html">https://mta.openssl.org/pipermail/openssl-users/attachments/20200703/33db0fee/attachment.html</a>>
- Previous message: OpenSSL 1.1 result in error: variable has initializer but incomplete type static BIO_METHOD
- Next message:Goodbye
- Messages sorted by: [ date ] [ thread ] [ subject ] [ author ]
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持 码农网
猜你喜欢:本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们。
统计自然语言处理
宗成庆 / 清华大学出版社 / 2008-5 / 66.00元
内容简介 本书全面介绍了统计自然语言处理的基本概念、理论方法和最新研究进展,内容包括形式语言与自动机及其在自然语言处理中的应用、语言模型、隐马尔可夫模型、语料库技术、汉语自动分词与词性标注、句法分析、词义消歧、统计机器翻译、语音翻译、文本分类、信息检索与问答系统、自动文摘和信息抽取、口语信息处理与人机对话系统等,既有对基础知识和理论模型的介绍,也有对相关问题的研究背景、实现方法和技术现状的详......一起来看看 《统计自然语言处理》 这本书的介绍吧!