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
阿拉善左旗| 巴林左旗| 遵义市| 洪泽县| 彰化县| 喀喇沁旗| 城固县| 浠水县| 佛冈县| 青州市| 南江县| 北京市| 辛集市| 大同市| 五原县| 浦县| 佛冈县| 农安县| 台东市| 于田县| 岑溪市| 句容市| 南和县| 阿巴嘎旗| 美姑县| 白城市| 苍溪县| 上栗县| 永宁县| 安仁县| 丹阳市| 东方市| 海盐县| 渭南市| 河北省| 阿克苏市| 苍山县| 那曲县| 曲麻莱县| 敦化市| 濮阳县|