找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Machine Learning and Knowledge Discovery in Databases. Research Track; European Conference, Nuria Oliver,Fernando Pérez-Cruz,Jose A. Lozano

[復制鏈接]
樓主: injurious
21#
發(fā)表于 2025-3-25 05:52:44 | 只看該作者
Certification of Model Robustness in Active Class Selectionhis declaration is theoretically justified by PAC bounds. We apply our proposed certification method in astro-particle physics, where a simulation generates telescope recordings from actively chosen particle classes.
22#
發(fā)表于 2025-3-25 11:23:41 | 只看該作者
0302-9743 ge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic.?.The 210 full papers presented in these proceedings were carefully reviewed and s
23#
發(fā)表于 2025-3-25 14:31:48 | 只看該作者
24#
發(fā)表于 2025-3-25 19:03:24 | 只看該作者
25#
發(fā)表于 2025-3-25 23:18:57 | 只看該作者
The Bures Metric for Generative Adversarial Networkspace or kernel space in terms of the covariance and kernel matrix respectively. We observe that diversity matching reduces mode collapse substantially and has a positive effect on sample quality. On the practical side, a very simple training procedure is proposed and assessed on several data sets.
26#
發(fā)表于 2025-3-26 03:51:39 | 只看該作者
27#
發(fā)表于 2025-3-26 08:13:30 | 只看該作者
28#
發(fā)表于 2025-3-26 09:42:54 | 只看該作者
Self-bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian Csian guarantees on the C-Bound, we derive self-bounding majority vote learning algorithms. Moreover, our algorithms based on gradient descent are scalable and lead to accurate predictors paired with non-vacuous guarantees.
29#
發(fā)表于 2025-3-26 16:18:22 | 只看該作者
30#
發(fā)表于 2025-3-26 20:47:54 | 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) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 21:47
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 返回頂部 返回列表
曲阜市| 周至县| 景宁| 南昌县| 盐山县| 衡山县| 镇沅| 鄄城县| 时尚| 长顺县| 始兴县| 林甸县| 天全县| 河间市| 自贡市| 红安县| 瑞丽市| 集安市| 福州市| 新乡市| 苍梧县| 镇康县| 汉阴县| 微博| 西丰县| 高邮市| 四会市| 永德县| 简阳市| 弥渡县| 洪湖市| 盐源县| 资兴市| 巫溪县| 南充市| 龙州县| 海盐县| 高安市| 鞍山市| 河间市| 桂林市|