找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Neural-Symbolic Learning and Reasoning; 18th International C Tarek R. Besold,Artur d’Avila Garcez,Benedikt Wagn Conference proceedings 2024

[復(fù)制鏈接]
查看: 27804|回復(fù): 59
樓主
發(fā)表于 2025-3-21 18:28:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Neural-Symbolic Learning and Reasoning
副標(biāo)題18th International C
編輯Tarek R. Besold,Artur d’Avila Garcez,Benedikt Wagn
視頻videohttp://file.papertrans.cn/664/663768/663768.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Neural-Symbolic Learning and Reasoning; 18th International C Tarek R. Besold,Artur d’Avila Garcez,Benedikt Wagn Conference proceedings 2024
描述.This book constitutes the refereed proceedings of the 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, held in Barcelona, Spain during September 9-12th, 2024...The 30 full papers and 18 short papers were carefully reviewed and selected from 89 submissions, which presented the latest and ongoing research work on neurosymbolic AI.?Neurosymbolic AI aims to build rich computational models and systems by combining neural and symbolic learning and reasoning paradigms. This combination hopes to form synergies among their strengths while overcoming their.complementary weaknesses..
出版日期Conference proceedings 2024
關(guān)鍵詞Neurosymbolic Artificial Intelligence; Hybrid Learning and Reasoning Systems; Artificial intelligence;
版次1
doihttps://doi.org/10.1007/978-3-031-71167-1
isbn_softcover978-3-031-71166-4
isbn_ebook978-3-031-71167-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書(shū)目名稱(chēng)Neural-Symbolic Learning and Reasoning影響因子(影響力)




書(shū)目名稱(chēng)Neural-Symbolic Learning and Reasoning影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Neural-Symbolic Learning and Reasoning網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Neural-Symbolic Learning and Reasoning網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Neural-Symbolic Learning and Reasoning被引頻次




書(shū)目名稱(chēng)Neural-Symbolic Learning and Reasoning被引頻次學(xué)科排名




書(shū)目名稱(chēng)Neural-Symbolic Learning and Reasoning年度引用




書(shū)目名稱(chēng)Neural-Symbolic Learning and Reasoning年度引用學(xué)科排名




書(shū)目名稱(chēng)Neural-Symbolic Learning and Reasoning讀者反饋




書(shū)目名稱(chēng)Neural-Symbolic Learning and Reasoning讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:00:31 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:10:46 | 只看該作者
地板
發(fā)表于 2025-3-22 06:16:52 | 只看該作者
Bayesian Inverse Graphics for?Few-Shot Concept Learninguses our new differentiable renderer for optimizing global scene parameters through gradient descent, sampling posterior distributions over object parameters with Markov Chain Monte Carlo (MCMC), and using a neural based likelihood function. The code and datasets are available at .).
5#
發(fā)表于 2025-3-22 10:34:54 | 只看該作者
6#
發(fā)表于 2025-3-22 14:34:32 | 只看該作者
7#
發(fā)表于 2025-3-22 18:29:07 | 只看該作者
8#
發(fā)表于 2025-3-22 21:46:24 | 只看該作者
Enhancing Machine Learning Predictions Through Knowledge Graph Embeddingsechniques, applied to heart and chronic kidney disease prediction. Our results indicate consistent improvements in model performance across various ML models and tasks, thus confirming our hypothesis, e.g. we increased the F2 score for the KNN from 70% to 82.22%, and the F2 score for SVM from 74.53%
9#
發(fā)表于 2025-3-23 03:09:16 | 只看該作者
10#
發(fā)表于 2025-3-23 09:29:02 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-20 10:29
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
班玛县| 扶沟县| 徐闻县| 肃宁县| 湛江市| 庆元县| 长泰县| 临洮县| 宁陵县| 喀喇沁旗| 图木舒克市| 抚宁县| 三亚市| 沙湾县| 庐江县| 靖远县| 浦江县| 高要市| 若羌县| 汤原县| 额济纳旗| 永州市| 双流县| 吴堡县| 廊坊市| 上饶市| 沙雅县| 盘山县| 漳平市| 海口市| 紫金县| 浏阳市| 宣威市| 姚安县| 三原县| 德令哈市| 二连浩特市| 嵊泗县| 准格尔旗| 白山市| 友谊县|