標(biāo)題: Titlebook: MDATA: A New Knowledge Representation Model; Theory, Methods and Yan Jia,Zhaoquan Gu,Aiping Li Book 2021 Springer Nature Switzerland AG 20 [打印本頁] 作者: 拐杖 時間: 2025-3-21 19:07
書目名稱MDATA: A New Knowledge Representation Model影響因子(影響力)
書目名稱MDATA: A New Knowledge Representation Model影響因子(影響力)學(xué)科排名
書目名稱MDATA: A New Knowledge Representation Model網(wǎng)絡(luò)公開度
書目名稱MDATA: A New Knowledge Representation Model網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱MDATA: A New Knowledge Representation Model被引頻次
書目名稱MDATA: A New Knowledge Representation Model被引頻次學(xué)科排名
書目名稱MDATA: A New Knowledge Representation Model年度引用
書目名稱MDATA: A New Knowledge Representation Model年度引用學(xué)科排名
書目名稱MDATA: A New Knowledge Representation Model讀者反饋
書目名稱MDATA: A New Knowledge Representation Model讀者反饋學(xué)科排名
作者: 粗語 時間: 2025-3-21 22:32 作者: Conduit 時間: 2025-3-22 03:56
978-3-030-71589-2Springer Nature Switzerland AG 2021作者: diathermy 時間: 2025-3-22 06:22 作者: legacy 時間: 2025-3-22 09:46 作者: 討厭 時間: 2025-3-22 14:56 作者: 潛移默化 時間: 2025-3-22 18:18
The Framework of the MDATA Computing Model,. The computing paradigm is also shifting from centralized computing in the cloud to collaborative computing in the front end, middle layer, and cloud. Therefore, traditional computing paradigms such as cloud computing and edge computing can no longer satisfy the evolving computing needs of big data作者: lavish 時間: 2025-3-22 23:26
Spatiotemporal Data Cleaning and Knowledge Fusion, key technologies supporting knowledge fusion. In this chapter, we give a brief overview of some important technologies of knowledge fusion and data cleaning. We first briefly introduce the motivation and background of knowledge fusion and data cleaning. Then, we discuss some of the recent methods f作者: 不發(fā)音 時間: 2025-3-23 04:27
Chinese Named Entity Recognition: Applications and Challenges,nswering, reading comprehension, knowledge graph, machine translation and other fields. With the development of natural language processing techniques and the enhancement of text mining, the acquisition of semantic knowledge in text area becomes very important, and named entity recognition is the fo作者: 憤慨點吧 時間: 2025-3-23 09:07
Joint Extraction of Entities and Relations: An Advanced BERT-based Decomposition Method, tasks. However, most existing joint models cannot solve the problem of overlapping triples well. We propose an efficient end-to-end model for joint extraction of entities and overlapping relations in this chapter. Firstly, the BERT pre-training model is introduced to model the text more finely. Nex作者: 環(huán)形 時間: 2025-3-23 12:12 作者: 潛伏期 時間: 2025-3-23 14:10
Knowledge Extraction: Automatic Classification of Matching Rules,satisfy users’ demands timely and accurately, and it is an urgent task to develop big search techniques in cyberspace. MDATA (Multi-dimensional Data Association and Intelligent Analysis) is a knowledge representation model with temporal and spatial characteristics. Through the effective expression o作者: 裝勇敢地做 時間: 2025-3-23 19:39 作者: Corroborate 時間: 2025-3-23 22:37 作者: 謙卑 時間: 2025-3-24 03:29 作者: 是限制 時間: 2025-3-24 10:12
Detection and Defense Methods of Cyber Attacks,al intelligence, many kinds of cyber attacks are emerging every day, causing severe consequences to society. Meanwhile, intelligent defense methods are proposed to detect these attacks. Such attack and defense methods are constantly being renovated. In particular, advanced persistent threats are int作者: subacute 時間: 2025-3-24 10:44
A Distributed Framework for APT Attack Analysis,rmation security of these industries, spawned local area networks (LANs), intranets and so on. With the development of information sensor technology, the Internet of Things (IoT) that interconnects physical devices has emerged. As a unity of computing process and physical process, the Cyber-physical作者: 騷動 時間: 2025-3-24 18:46
Social Unrest Events Prediction by Contextual Gated Graph Convolutional Networks, performance. The innovation of DGCN mainly focuses on capturing the temporal features of unrest events. Inspired by the DGCN, we propose a new graph convolutional network model called Contextual Gated Graph Convolutional Network (CGGCN), which is adopted to predict and analyze social unrest events.作者: cavity 時間: 2025-3-24 22:57 作者: 閑聊 時間: 2025-3-25 01:16 作者: Cosmopolitan 時間: 2025-3-25 04:01
Yan Jia,Zhaoquan Gu,Aiping Li,Weihong Han domains indicates the importance of . of induced descriptions. Often in such domains, predictive accuracy is hardly of interest to the user. Instead, the users’ interest now lies in the interpretion of the induced descriptions and not, in their use for prediction. In such cases, ML is essentially u作者: 單獨 時間: 2025-3-25 08:14
Yan Jia,Aiping Li,Zhaoquan Gu,Bin Zhou,Ye Wang,Xiang Wang,Hongkui Tu domains indicates the importance of . of induced descriptions. Often in such domains, predictive accuracy is hardly of interest to the user. Instead, the users’ interest now lies in the interpretion of the induced descriptions and not, in their use for prediction. In such cases, ML is essentially u作者: WAIL 時間: 2025-3-25 13:22 作者: muscle-fibers 時間: 2025-3-25 15:56 作者: 承認(rèn) 時間: 2025-3-25 20:37
Changhai Wang,Aiping Li domains indicates the importance of . of induced descriptions. Often in such domains, predictive accuracy is hardly of interest to the user. Instead, the users’ interest now lies in the interpretion of the induced descriptions and not, in their use for prediction. In such cases, ML is essentially u作者: antiandrogen 時間: 2025-3-26 00:55
Xiaolong Chen,Le Wang,Yunyi Tang,Weihong Han,Zhihong Tian,Zhaoquan Guof citizenship and learning.Includes original insights on hoThe book addresses the compelling questions concerning the ideals of African citizenship, the processes of learning to fulfill these ideals, and possibilities of education in fostering citizenship. Rather than advocating for one particular 作者: 有其法作用 時間: 2025-3-26 06:50 作者: geriatrician 時間: 2025-3-26 11:03
Shanqing Yu,Jun Zheng,Yongqi Wang,Jinyin Chen,Qi Xuan,Qingpeng Zhanglearning, identity and diversity by presenting actual research findings that were retrieved from classroom settings and related social practices. Learning is to a large extent an ongoing social process as both students and their teachers learn by being part of shared social practices through social 作者: 難聽的聲音 時間: 2025-3-26 15:08 作者: 相互影響 時間: 2025-3-26 19:37 作者: 潰爛 時間: 2025-3-26 21:01
Kai Xing,Aiping Li,Rong Jiang,Yan Jialearning, identity and diversity by presenting actual research findings that were retrieved from classroom settings and related social practices. Learning is to a large extent an ongoing social process as both students and their teachers learn by being part of shared social practices through social 作者: Ordeal 時間: 2025-3-27 04:05 作者: cognizant 時間: 2025-3-27 08:44 作者: 怪物 時間: 2025-3-27 09:46
Liqun Gao,Bin Zhou,Yan Jia,Hongkui Tu,Ye Wanglearning, identity and diversity by presenting actual research findings that were retrieved from classroom settings and related social practices. Learning is to a large extent an ongoing social process as both students and their teachers learn by being part of shared social practices through social 作者: 發(fā)怨言 時間: 2025-3-27 14:54 作者: NOTCH 時間: 2025-3-27 18:38
Introduction to the MDATA Model,ata .ssociation and in.elligent .nalysis (MDATA for short). We introduce three main parts in the MDATA model, knowledge representation, knowledge acquisition, and knowledge usage. We also discuss some potential applications that MDATA could be adopted and works greatly to improve the efficiency by the stronger ability of representing knowledge.作者: LAY 時間: 2025-3-27 23:35
0302-9743 ldKnowledge representation is an important task in understanding how humans think and learn. Although many representation models or cognitive models have been proposed, such as expert systems or knowledge graphs, they cannot represent procedural knowledge, i.e., dynamic knowledge, in an efficient wa作者: Bucket 時間: 2025-3-28 05:09
Chinese Named Entity Recognition: Applications and Challenges,cation. We also introduce the challenge of Chinese entity recognition. Last, we compare recent works, give a vision about future work and propose the application in the Multi-dimensional Data Association and inTelligent Analysis (MDATA) model.作者: ARIA 時間: 2025-3-28 09:25
Entity Alignment: Optimization by Seed Selection,aph. In order to solve the problem of insufficient number of high-quality seed entities, an iterative entity alignment method is adopted. We have done experiments on DBP15K dataset, and the experimental results show that the proposed method can achieve good entity alignment even under weak supervision.作者: allude 時間: 2025-3-28 14:11
Information Cascading in Social Networks,om multiple sources in a graph, which can be applied to the SNICA problems. Recently, deep learning models have changed this situation, and it has achieved success in SNICA with its powerful implicit feature extraction capabilities. This chapter provides a comprehensive survey of recent progress in applying deep learning techniques for SNICA.作者: 長處 時間: 2025-3-28 17:56
Spatiotemporal Data Cleaning and Knowledge Fusion,leaning. We first briefly introduce the motivation and background of knowledge fusion and data cleaning. Then, we discuss some of the recent methods for knowledge fusion and spatiotemporal data cleaning. Finally, we outline some future directions of knowledge fusion and data cleaning.作者: Intentional 時間: 2025-3-28 20:21 作者: 鑲嵌細(xì)工 時間: 2025-3-29 00:47
Applications of Knowledge Representation Learning, chapter introduces the overall framework of KRL and the specific model design. In addition, we introduce the corresponding experimental evaluation tasks, including the evaluation metrics and benchmark datasets of each model. Afterwards, we summarize how to apply KRL in various downstream NLP tasks.作者: 悶熱 時間: 2025-3-29 03:29 作者: 盟軍 時間: 2025-3-29 11:08 作者: painkillers 時間: 2025-3-29 14:41 作者: 肌肉 時間: 2025-3-29 17:00 作者: Systemic 時間: 2025-3-29 22:58 作者: duplicate 時間: 2025-3-30 03:11 作者: Conquest 時間: 2025-3-30 04:02 作者: 歡呼 時間: 2025-3-30 09:21 作者: DAUNT 時間: 2025-3-30 16:09
Yunyi Tang,Le Wang,Xiaolong Chen,Zhaoquan Gu,Zhihong Tianotti, Theodor Adorno and étienne Balibar on one hand, and the conceptions articulated by groups of inhabitants of rural and urban settings in Africa, on the other hand. Therefore, the book offers fresh readings under the lenses of citizenship and learning..This is an open access book..978-3-030-94884-9978-3-030-94882-5作者: instill 時間: 2025-3-30 20:02
Haocheng Xie,Aiping Li,Yan Jiasitions between school and home practices. Last but not least, since school practices can be addressed from the perspective of diversity and special educational needs an on-going discussion about optimizing pedagogical approaches is of main importance to allow maximum educational effectiveness.Our p作者: Jogging 時間: 2025-3-30 23:52 作者: maudtin 時間: 2025-3-31 04:08
sitions between school and home practices. Last but not least, since school practices can be addressed from the perspective of diversity and special educational needs an on-going discussion about optimizing pedagogical approaches is of main importance to allow maximum educational effectiveness.Our p作者: 叢林 時間: 2025-3-31 05:24
Joint Extraction of Entities and Relations: An Advanced BERT-based Decomposition Method, New York Times (NYT) dataset and achieve overwhelming results (Precise = 0.870, Recall = 0.851, and F1 = 0.860) compared with most of the current models. The experimental results show that our model is effective in dealing with triples overlap problem.
