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; 6th IFIP TC 5, TC 12 Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2022

[復(fù)制鏈接]
樓主: bile-acids
11#
發(fā)表于 2025-3-23 19:13:03 | 只看該作者
12#
發(fā)表于 2025-3-24 00:34:05 | 只看該作者
,The Influence of?User Diversity on?Motives and?Barriers when Using Health Apps - A Conjoint Investiigured based on selected attributes. Differences in decision-making between men and women, exercisers and non-exercisers, as well as influences of certain personality dimensions and motivational types have been found. The results provide important clues that may help to customize fitness apps to specific user groups and for further research.
13#
發(fā)表于 2025-3-24 03:54:46 | 只看該作者
14#
發(fā)表于 2025-3-24 10:29:00 | 只看該作者
Evaluating the Performance of SOBEK Text Mining Keyword Extraction Algorithm,ing one another in a batch of tests, and reaching similar results in others. Understanding why each algorithm outperformed the other in different circumstances may shed light on the advantages and disadvantages of specific features of keyword extraction methods.
15#
發(fā)表于 2025-3-24 13:16:58 | 只看該作者
0302-9743 D-MAKE 2022, held in Vienna, Austria during August 2022..The 23 full papers presented were carefully reviewed and selected from 45 submissions.?The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algori
16#
發(fā)表于 2025-3-24 17:41:31 | 只看該作者
17#
發(fā)表于 2025-3-24 22:46:58 | 只看該作者
18#
發(fā)表于 2025-3-24 23:26:24 | 只看該作者
19#
發(fā)表于 2025-3-25 05:38:41 | 只看該作者
,Towards Refined Classifications Driven by?SHAP Explanations,compare the performance of these “SHAP features” against traditional “base features” on binary classification tasks. Then, we add a second-step classifier relying on SHAP features, with the goal of reducing false-positive and false-negative results of typical classifiers. We show that SHAP explanati
20#
發(fā)表于 2025-3-25 11:32:57 | 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(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-16 23:36
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
积石山| 日土县| 汉沽区| 子长县| 辛集市| 宝清县| 大余县| 广德县| 海伦市| 台东县| 巴青县| 恩平市| 迁西县| 舟曲县| 永昌县| 白沙| 宁武县| 丽江市| 高安市| 旅游| 沂水县| 禹州市| 琼结县| 万安县| 宁陵县| 玉屏| 广饶县| 河间市| 阳泉市| 宁晋县| 铅山县| 长泰县| 长寿区| 绥江县| 博野县| 鄂伦春自治旗| 新闻| 库车县| 耿马| 弥渡县| 礼泉县|