找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
樓主: 支票
31#
發(fā)表于 2025-3-26 21:51:55 | 只看該作者
32#
發(fā)表于 2025-3-27 02:05:31 | 只看該作者
,Leveraging Implicit Gaze-Based User Feedback for?Interactive Machine Learning,e learning system by observing its eye movements and facial expressions. In this paper, we describe our approach for modelling user disagreement and discuss how such a model could be used for triggering user feedback requests in the context of interactive machine learning.
33#
發(fā)表于 2025-3-27 06:42:38 | 只看該作者
34#
發(fā)表于 2025-3-27 10:23:13 | 只看該作者
35#
發(fā)表于 2025-3-27 17:37:25 | 只看該作者
36#
發(fā)表于 2025-3-27 19:37:39 | 只看該作者
,PEBAM: A Profile-Based Evaluation Method for?Bias Assessment on?Mixed Datasets,e proposed profile-based evaluation method for bias assessment on mixed datasets (PEBAM) can reveal forms of bias towards profiles expressed by the dataset that are undetected when using individual- or group-bias metrics alone.
37#
發(fā)表于 2025-3-27 22:50:27 | 只看該作者
,Deep Neural Networks for?Geometric Shape Deformation,at can be easily fed into a neural network. In this paper, we demonstrate how deep SDF neural networks can be used to precisely predict the deformation of a material after the application of a specific force. The model is trained using a set of custom finite element simulations in order to generalize to unseen forces.
38#
發(fā)表于 2025-3-28 03:30:14 | 只看該作者
39#
發(fā)表于 2025-3-28 10:00:31 | 只看該作者
Conference proceedings 2022ID-19 the conference was held virtually..The chapter "Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..
40#
發(fā)表于 2025-3-28 10:52:35 | 只看該作者
0302-9743 Due to COVID-19 the conference was held virtually..The chapter "Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..978-3-031-15790-5978-3-031-15791-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
 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, 2025-10-11 17:30
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
丹巴县| 鹤山市| 如东县| 调兵山市| 腾冲县| 高淳县| 广宁县| 汉寿县| 墨竹工卡县| 阿尔山市| 青川县| 唐河县| 吴忠市| 桃园县| 涞源县| 浦城县| 乌苏市| 晴隆县| 抚远县| 栖霞市| 台中市| 克什克腾旗| 漠河县| 哈尔滨市| 沅陵县| 潮州市| 犍为县| 吐鲁番市| 德清县| 西乌珠穆沁旗| 阜新市| 扎囊县| 红河县| 上林县| 潜山县| 周口市| 奉新县| 齐齐哈尔市| 科技| 黔南| 揭西县|