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: Data Analytics and Management in Data Intensive Domains; 23rd International C Alexei Pozanenko,Sergey Stupnikov,Nadezhda Kiselyo Conference

[復制鏈接]
樓主: 難受
41#
發(fā)表于 2025-3-28 17:28:15 | 只看該作者
Adebayo Fayoyin,Emmanuel K. Ngwainmbies not require a large amount of labeled data, which saves time and effort for data labeling and therefore can be applied in low- and mid-resource settings. The source code is publicly available and can be used for different research purposes.
42#
發(fā)表于 2025-3-28 20:57:20 | 只看該作者
43#
發(fā)表于 2025-3-28 22:54:24 | 只看該作者
44#
發(fā)表于 2025-3-29 03:26:30 | 只看該作者
45#
發(fā)表于 2025-3-29 10:32:43 | 只看該作者
A System for?Information Extraction from?Scientific Texts in?Russianes not require a large amount of labeled data, which saves time and effort for data labeling and therefore can be applied in low- and mid-resource settings. The source code is publicly available and can be used for different research purposes.
46#
發(fā)表于 2025-3-29 13:19:14 | 只看該作者
47#
發(fā)表于 2025-3-29 15:54:28 | 只看該作者
Conference proceedings 2022 DAMDID/RCDL 2021, held in Moscow, Russia, in October 2021*..The 16 revised full papers were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections:?problem solving infrastructures, experiment organization, and machine learning applications; d
48#
發(fā)表于 2025-3-29 22:18:29 | 只看該作者
49#
發(fā)表于 2025-3-30 01:51:28 | 只看該作者
https://doi.org/10.1007/978-3-642-34568-5gration of different open source tools for running research experiments. We implement our approach in a prototype open source MLDev software package and evaluate it in a series of experiments yielding promising results. Comparison with other state-of-the-art tools signifies novelty of our approach.
50#
發(fā)表于 2025-3-30 04:53:07 | 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, 2025-10-19 05:49
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
竹山县| 枣强县| 潜山县| 阜南县| 阜新| 宁化县| 来安县| 海南省| 吴旗县| 黎平县| 蚌埠市| 炎陵县| 南平市| 怀来县| 从化市| 仁怀市| 金坛市| 海口市| 张北县| 交城县| 黑河市| 赞皇县| 宁都县| 延边| 茶陵县| 宽甸| 利津县| 兴安盟| 建瓯市| 三门县| 疏勒县| 清远市| 左权县| 禄丰县| 兴义市| 政和县| 乐陵市| 贵德县| 平泉县| 柳河县| 成都市|