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 Extraction; Third IFIP TC 5, TC Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2019

[復制鏈接]
51#
發(fā)表于 2025-3-30 10:31:09 | 只看該作者
Machine Learning for Family Doctors: A Case of Cluster Analysis for Studying Aging Associated Comoron using a set of anthropometric and laboratory health indicators, routinely collected in electronic health records. Differences found among clusters in proportions of prefrail and frail versus non-frail patients have been explained with differences in the central values of the parameters used for c
52#
發(fā)表于 2025-3-30 14:20:35 | 只看該作者
53#
發(fā)表于 2025-3-30 19:16:11 | 只看該作者
54#
發(fā)表于 2025-3-30 23:37:28 | 只看該作者
55#
發(fā)表于 2025-3-31 04:53:51 | 只看該作者
,Backdoor Attacks in Neural Networks – A Systematic Evaluation on Multiple Traffic Sign Datasets,ions. For image analysis tasks, these attacks are in the form of small perturbations that remain (almost) imperceptible to human vision. Such attacks can cause a neural network classifier to completely change its prediction about an image, with the model even reporting a high confidence about the wr
56#
發(fā)表于 2025-3-31 05:36:12 | 只看該作者
Deep Learning for Proteomics Data for Feature Selection and Classification,xtract biomarker sets..Comparison of our method to a state-of-the-art L1-SVM approach shows that the new approach is able to find better biomarker sets for classification when small sets are desired. Compared to a state-of-the-art .-support vector machine (.-SVM) approach, our method achieves better
57#
發(fā)表于 2025-3-31 10:06:35 | 只看該作者
58#
發(fā)表于 2025-3-31 14:22:55 | 只看該作者
Franti?ek Babi?,Ljiljana Trtica Majnari?,Sanja Beki?,Andreas Holzinger
59#
發(fā)表于 2025-3-31 17:49:09 | 只看該作者
60#
發(fā)表于 2025-4-1 00:52:49 | 只看該作者
Anna Saranti,Behnam Taraghi,Martin Ebner,Andreas Holzinger
 關于派博傳思  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 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, 2025-10-5 18:01
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
兖州市| 鄄城县| 华蓥市| 肇州县| 蒲江县| 正定县| 云阳县| 涞水县| 宜宾县| 永顺县| 霍州市| 五常市| 峨眉山市| 荣昌县| 天等县| 嘉祥县| 宾川县| 交城县| 开化县| 全州县| 茌平县| 东乡县| 五原县| 新晃| 柳州市| 黔东| 乾安县| 岳西县| 扬中市| 陆川县| 房山区| 天水市| 武安市| 宝清县| 尼勒克县| 巩留县| 商水县| 万盛区| 红河县| 南昌县| 龙胜|