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: KI 2022: Advances in Artificial Intelligence; 45th German Conferen Ralph Bergmann,Lukas Malburg,Ingo J. Timm Conference proceedings 2022 Th

[复制链接]
楼主: 支票
发表于 2025-3-25 03:42:27 | 显示全部楼层
Omair Bhatti,Michael Barz,Daniel SonntagEinbettung in die Literaturkultur ihrer Zeit. Im Fokus stehen Oskar Baum, Karl Brand, Max Brod, Ernst Feigl, Milena Jesenská, Paul Kornfeld, Alfred Kubin, Jizchak Löwy, Otto Pick, Miriam Singer, Johannes Urzidil, Melchior Vischer, Ernst Weiß und Franz Werfel..978-3-662-67640-0
发表于 2025-3-25 10:34:41 | 显示全部楼层
发表于 2025-3-25 13:17:33 | 显示全部楼层
https://doi.org/10.1007/978-3-031-15791-2artificial intelligence; computer hardware; computer networks; computer vision; data mining; databases; fo
发表于 2025-3-25 17:39:48 | 显示全部楼层
发表于 2025-3-25 21:26:42 | 显示全部楼层
发表于 2025-3-26 02:04:33 | 显示全部楼层
KI 2022: Advances in Artificial Intelligence978-3-031-15791-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-26 05:59:42 | 显示全部楼层
,Assessing the Performance Gain on Retail Article Categorization at the Expense of Explainability ansolid low-resource baseline for deep learning-based models, on two different retail article categorization datasets; and we finally discuss the suitability of the different presented models when they need to be deployed considering not only their classification performance but also their implied resource costs and explainability aspects.
发表于 2025-3-26 09:01:28 | 显示全部楼层
Unsupervised Alignment of Distributional Word Embeddings,ed manner. We evaluate our method on the problem of unsupervised word translation, by aligning word embeddings trained on monolingual data. We present empirical evidence to demonstrate the validity of our approach to the bilingual lexicon induction task across several language pairs.
发表于 2025-3-26 13:04:10 | 显示全部楼层
,NeuralPDE: Modelling Dynamical Systems from Data,he NeuralPDE Model, which explicitly takes into account the fact that the data is governed by differential equations. We show in several experiments on toy and real-world data that our model consistently outperforms state-of-the-art models used to learn dynamical systems.
发表于 2025-3-26 17:32:05 | 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 吾爱论文网 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.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-8 00:42
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