知识表示系列文章.rar

上传者: woshihaojing | 上传时间: 2021-01-28 04:28:51 | 文件大小: 5.09MB | 文件类型: RAR
知识表示系列文章.rar

文件下载

资源详情

[{"title":"( 10 个子文件 5.09MB ) 知识表示系列文章.rar","children":[{"title":"知识表示","children":[{"title":"2016-AAAI-Knowledge graph completion with adaptive sparse transfer matrix.pdf <span style='color:#111;'> 730.19KB </span>","children":null,"spread":false},{"title":"2013-WWW-AMIE:association rule mining under incomplete evidence in ontological knowledge bases.pdf <span style='color:#111;'> 398.37KB </span>","children":null,"spread":false},{"title":"2015-EMNLP-Modeling relation paths for representation learning of knowledge bases.pdf <span style='color:#111;'> 511.97KB </span>","children":null,"spread":false},{"title":"2015-ACL-Knowledge graph embedding via dynamic mapping matrix.pdf <span style='color:#111;'> 987.38KB </span>","children":null,"spread":false},{"title":"2013-NIPS-Translating embeddings for modeling multi-relational data.pdf <span style='color:#111;'> 414.17KB </span>","children":null,"spread":false},{"title":"2015-CIKM-Learning to represent knowledge graphs with gaussian embedding.pdf <span style='color:#111;'> 841.84KB </span>","children":null,"spread":false},{"title":"2015-TransG:A generative mixture model for knowledge graph embedding.pdf <span style='color:#111;'> 525.71KB </span>","children":null,"spread":false},{"title":"2010-Relational retrieval using a combination of path-contrained random walks.pdf <span style='color:#111;'> 468.95KB </span>","children":null,"spread":false},{"title":"2015-AAAI-Learning entity and relation embeddings for knowledge graph completion.pdf <span style='color:#111;'> 693.67KB </span>","children":null,"spread":false},{"title":"2014-EMNLP-Knowledge graph and text jointly embedding.pdf <span style='color:#111;'> 375.69KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明