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: New Frontiers in Artificial Intelligence; JSAI-isAI Internatio Maki Sakamoto,Naoaki Okazaki,Ken Satoh Conference proceedings 2020 The Edito

[复制链接]
楼主: 自由
发表于 2025-3-25 05:37:29 | 显示全部楼层
发表于 2025-3-25 08:13:27 | 显示全部楼层
发表于 2025-3-25 12:13:29 | 显示全部楼层
Automatic Extraction of Legal Norms: Evaluation of Natural Language Processing Toolserate this process are in high demand. In this paper, we address two major questions related to this problem: (i) what are the challenges in formalising legal documents into a machine understandable formalism? (ii) to what extent can the data-driven state-of-the-art approaches developed in the Natur
发表于 2025-3-25 17:00:41 | 显示全部楼层
Deep Learning for Multi-factor Models in Regional and Global Stock Marketspoint of the cross-sectional prediction with machine learning techniques, there are no examples that verify its profitability in regional and global stock markets. This paper implements deep learning for multi-factor models to predict stock returns in the cross-section in these stock markets and inv
发表于 2025-3-25 20:43:36 | 显示全部楼层
News Articles Evaluation Analysis in Automotive Industry Using GPT-2 and Co-occurrence Networkces. Stock price fluctuations of highly influential companies can have a major impact on the economy as a whole. In particular, the automobile industry is a colossal industry that leads the Japanese industry. However, the limitations in the number of available data sets usually become the hurdle for
发表于 2025-3-26 00:51:52 | 显示全部楼层
发表于 2025-3-26 05:58:41 | 显示全部楼层
发表于 2025-3-26 11:33:42 | 显示全部楼层
发表于 2025-3-26 14:31:20 | 显示全部楼层
Variables vs. Parameters in the Interpretation of Natural Language Intensional Logic . and its extensional substratum . of two-sorted type theory. The two systems differ in their treatment of reference and quantification over indices (like possible worlds or times): whereas the denotations of .-formulae (.) depend on indices as parameters, their .-counterparts con
发表于 2025-3-26 20:30:46 | 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, 2025-5-14 10:48
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