標(biāo)題: Titlebook: Big Data; 8th CCF Conference, Hong Mei,Weiguo Zhang,Li Wang Conference proceedings 2021 Springer Nature Singapore Pte Ltd. 2021 artificial [打印本頁] 作者: 忠誠 時間: 2025-3-21 18:30
書目名稱Big Data影響因子(影響力)
書目名稱Big Data影響因子(影響力)學(xué)科排名
書目名稱Big Data網(wǎng)絡(luò)公開度
書目名稱Big Data網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big Data被引頻次
書目名稱Big Data被引頻次學(xué)科排名
書目名稱Big Data年度引用
書目名稱Big Data年度引用學(xué)科排名
書目名稱Big Data讀者反饋
書目名稱Big Data讀者反饋學(xué)科排名
作者: Efflorescent 時間: 2025-3-21 22:39
Violence as Deviance? The Societal Response,rate that our proposed method achieves the competitive performance compared with the state-of-the-art deep learning methods and numerically promotes the reconstruction accuracy considerably, showing the effectiveness of the proposed NAS-CSNet and the promise to further use of NAS in the CS field.作者: Mets552 時間: 2025-3-22 04:29 作者: 移動 時間: 2025-3-22 05:31 作者: STELL 時間: 2025-3-22 09:45 作者: hieroglyphic 時間: 2025-3-22 12:53
Violence as Deviance? The Societal Response,urve; 2) MELP is more excellent in AUC value. MELP algorithm can provide an entirely new solution to the precision delivery of Internet advertisements, the perception of users’ risky behaviors and other applications.作者: arbovirus 時間: 2025-3-22 20:41
A. Dexter Samuels,Rahn Kennedy Baileyraining process. As different customers have different food tastes, we have improved our method and invented new model using Conditional GAN (CGAN) to incorporate the personal demands in food pairing. We have conducted extensive experiments on real data sets to evaluate the efficiency of our propose作者: 黑豹 時間: 2025-3-22 21:40 作者: 售穴 時間: 2025-3-23 02:47 作者: 使虛弱 時間: 2025-3-23 06:28
https://doi.org/10.1007/978-3-030-44762-5ollaborative filtering), using Embedding technology and graph convolutional neural network to mine the attributes and interactive relationship features in the data, and then through the fusion of feature vector expressions to achieve personalized exercise program recommendations. The design and impl作者: 印第安人 時間: 2025-3-23 13:08
https://doi.org/10.1007/978-3-030-44762-5al-time feedback. Meanwhile, to generate diverse and complementary items for recommendation, we design a diversity-aware reward function that can lead to maximizing reward with the trade-off between diversity and accuracy. Besides, to alleviate the disadvantage of DQN that directly picking the recom作者: flavonoids 時間: 2025-3-23 14:53
A Short Text Classification Model Based on Cross-Layer Connected Gated Recurrent Unit Capsule Networes of each layer. Furthermore, capsule network is applied to obtain the rich spatial position information in the deep high-level semantic representation, and the weight value of important features has been increasing through the core dynamic routing algorithm of the capsule network to improve the e作者: COKE 時間: 2025-3-23 19:40
Image Compressed Sensing Using Neural Architecture Search,rate that our proposed method achieves the competitive performance compared with the state-of-the-art deep learning methods and numerically promotes the reconstruction accuracy considerably, showing the effectiveness of the proposed NAS-CSNet and the promise to further use of NAS in the CS field.作者: 營養(yǎng) 時間: 2025-3-23 23:23 作者: flammable 時間: 2025-3-24 05:43
Introducing MDPSD, a Multimodal Dataset for Psychological Stress Detection,as required, and then fed back to us the self-assessment stress of each session as our data label. To demonstrate the dataset’s utility, we present an analysis of the correlations between participants’ self-assessments and their physiological responses. Stress is detected using well-known physiologi作者: Abduct 時間: 2025-3-24 07:05 作者: 粗語 時間: 2025-3-24 14:12
Link Prediction of Attention Flow Network Based on Maximum Entropy Model,urve; 2) MELP is more excellent in AUC value. MELP algorithm can provide an entirely new solution to the precision delivery of Internet advertisements, the perception of users’ risky behaviors and other applications.作者: 腐爛 時間: 2025-3-24 17:15 作者: 手工藝品 時間: 2025-3-24 22:13 作者: 委屈 時間: 2025-3-25 02:18
Hypernetwork Model Based on Logistic Regression,m capacity is set for each hyperedge; Secondly, the connection between nodes is selected by using logical regression instead of preferential connection; Finally, the old nodes are selected by using sub linear growth function instead of constant. Through the simulation experiment, it is found that th作者: 痛打 時間: 2025-3-25 03:50
,Multi Dimensional Evaluation of Middle School Students’ Physical and Mental Quality and Intelligentollaborative filtering), using Embedding technology and graph convolutional neural network to mine the attributes and interactive relationship features in the data, and then through the fusion of feature vector expressions to achieve personalized exercise program recommendations. The design and impl作者: abstemious 時間: 2025-3-25 07:50 作者: 易受刺激 時間: 2025-3-25 11:39 作者: Vaginismus 時間: 2025-3-25 19:48
Image Compressed Sensing Using Neural Architecture Search,struction algorithms in both running speed and reconstruction quality. However, it is a time-consuming procedure even for an expert to efficiently design a high-performance network for image CS because of various combination of different kernel size and filter number in each layer. In this paper, a 作者: dainty 時間: 2025-3-25 20:05 作者: AND 時間: 2025-3-26 03:20
Rotation-DPeak: Improving Density Peaks Selection for Imbalanced Data, and outliers automatically distribute on upper right and upper left corner, respectively. However, DPeak is not suitable for imbalanced data set with large difference in density, where sparse clusters are usually not identified. Hence, an improved DPeak, namely Rotation-DPeak, is proposed to overco作者: Juvenile 時間: 2025-3-26 05:31 作者: 催眠 時間: 2025-3-26 08:49
Improving Small-Scale Dataset Classification Performance Through Weak-Label Samples Generated by Insamples, the amount of available training data is always limited (real data). Generative Adversarial Network (GAN) has good performance in generating artificial samples (generated data), the generated samples can be used as supplementary data to make up for the problem of small dataset with small sa作者: MORPH 時間: 2025-3-26 16:20 作者: 胡言亂語 時間: 2025-3-26 18:37 作者: Coordinate 時間: 2025-3-26 22:59
Link Prediction of Attention Flow Network Based on Maximum Entropy Model,the attention flow network and revealing the basic mechanisms and evolution laws of the world wide web. The link prediction algorithm of attention flow network has important theoretical significance and application value but there is little research. Most of the existing link prediction algorithms a作者: 浮雕寶石 時間: 2025-3-27 04:17 作者: licence 時間: 2025-3-27 05:33 作者: Mast-Cell 時間: 2025-3-27 11:10 作者: 不滿分子 時間: 2025-3-27 14:48 作者: Embolic-Stroke 時間: 2025-3-27 18:27
Hypernetwork Model Based on Logistic Regression,eredges is increasing infinitely. However, in the network, considering the impact of real resources and environment, the nodes can not grow without the upper limit, and the number of connections can not grow without the upper limit. Under certain conditions, there will be the optimal or maximum grow作者: 誹謗 時間: 2025-3-28 01:05 作者: Gyrate 時間: 2025-3-28 04:23 作者: gustation 時間: 2025-3-28 08:47
Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/185569.jpg作者: 恩惠 時間: 2025-3-28 10:52
Big Data978-981-16-0705-9Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: contradict 時間: 2025-3-28 17:25
Conference proceedings 2021rs presented in this volume were carefully reviewed and selected from 65 submissions. They present recent research on?theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.?.作者: ostrish 時間: 2025-3-28 21:59 作者: 重畫只能放棄 時間: 2025-3-29 00:40 作者: 疲勞 時間: 2025-3-29 03:56
978-981-16-0704-2Springer Nature Singapore Pte Ltd. 2021作者: 異端邪說2 時間: 2025-3-29 07:37
Violence as Deviance? The Societal Response,text classification, but there is still a lot of room for development in enhancing the expressive capabilities of text features. In addition, although deeper networks can better extract features, they are easy to produce gradient disappearance or gradient explosion problems. To solve these problems,作者: Angiogenesis 時間: 2025-3-29 14:48 作者: 免除責(zé)任 時間: 2025-3-29 15:56 作者: Bouquet 時間: 2025-3-29 21:29
Responses of the Helping Professions, and outliers automatically distribute on upper right and upper left corner, respectively. However, DPeak is not suitable for imbalanced data set with large difference in density, where sparse clusters are usually not identified. Hence, an improved DPeak, namely Rotation-DPeak, is proposed to overco作者: Gossamer 時間: 2025-3-30 02:16
Responses of the Helping Professions,, there is a lack of commonly used standard data sets for psychological stress detection in affective computing research. Therefore, we present a multimodal dataset for the detection of human stress (MDPSD). A setup was arranged for the synchronized recording of facial videos, photoplethysmography (作者: 讓步 時間: 2025-3-30 07:42 作者: 短程旅游 時間: 2025-3-30 08:45
https://doi.org/10.1007/b107943rs of the questions and candidate answers were sent to the Convolutional Neural Network for learning, which is used the Leaky Relu activation function, and the learning results were pieced together with four Attention items, and features in relation to the vocabulary and topic, and then input into t作者: 得體 時間: 2025-3-30 14:52 作者: MAOIS 時間: 2025-3-30 19:17 作者: 殘暴 時間: 2025-3-31 00:29
Terrence Schofield,Rahn Kennedy Baileyructure. Graph convolution networks (GCN) are successfully applied in node embedding task as they can learn sparse and discrete dependency in the data. Most of the existing work in GCN requires costly matrix operation. In this paper, we proposed a graph neighbor Sampling, Aggregation, and ATtention 作者: Arbitrary 時間: 2025-3-31 03:22
A. Dexter Samuels,Rahn Kennedy Baileyy developed and get many different variants of GAN. GAN was proposed to generate similar-looking samples to those in the training data sets. The emergence of GAN and its variants also provide new ideas for food pairing. In this paper, we have tried to invent a novel technique for food pairing using 作者: Mortal 時間: 2025-3-31 05:13 作者: Camouflage 時間: 2025-3-31 12:14 作者: infringe 時間: 2025-3-31 16:29
https://doi.org/10.1007/978-3-030-44762-5eredges is increasing infinitely. However, in the network, considering the impact of real resources and environment, the nodes can not grow without the upper limit, and the number of connections can not grow without the upper limit. Under certain conditions, there will be the optimal or maximum grow作者: 后天習(xí)得 時間: 2025-3-31 20:05 作者: 宇宙你 時間: 2025-3-31 23:16
https://doi.org/10.1007/978-3-030-44762-5 between the system and its users. Most previous recommender systems heavily focus on optimizing recommendation accuracy while neglecting the other important aspects of recommendation quality, such as diversity of recommendation list. In this study, we propose a novel recommendation framework to opt作者: Freeze 時間: 2025-4-1 03:39 作者: 暫停,間歇 時間: 2025-4-1 07:17 作者: 文藝 時間: 2025-4-1 12:56
https://doi.org/10.1007/978-3-030-44762-5nerate rough alignment first, then use bilingual dictionaries to modify the alignment to make it more accurate. We use this alignment as training data and leverage this in training to optimize alignment. We demonstrate that our approach produces better or comparable performance compared to statistical approaches.
