標(biāo)題: Titlebook: Neural Information Processing; 24th International C Derong Liu,Shengli Xie,El-Sayed M. El-Alfy Conference proceedings 2017 Springer Interna [打印本頁] 作者: 悲傷我 時間: 2025-3-21 17:00
書目名稱Neural Information Processing影響因子(影響力)
書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名
書目名稱Neural Information Processing網(wǎng)絡(luò)公開度
書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Neural Information Processing被引頻次
書目名稱Neural Information Processing被引頻次學(xué)科排名
書目名稱Neural Information Processing年度引用
書目名稱Neural Information Processing年度引用學(xué)科排名
書目名稱Neural Information Processing讀者反饋
書目名稱Neural Information Processing讀者反饋學(xué)科排名
作者: 松軟 時間: 2025-3-21 22:54 作者: 激怒某人 時間: 2025-3-22 02:30
Modeling Server Workloads for Campus Email Traffic Using Recurrent Neural Networksestigate the use of a Recurrent Neural Network (RNN) as time series modeling to model the server workload, which is a first for such a problem. Our results show that the use of RNN modeling leads in most cases to high modeling accuracy for all four campus email traffic datasets.作者: 高深莫測 時間: 2025-3-22 05:39
Accelerated Matrix Factorisation Method for Fuzzy Clustering also propose an efficient method to solve the proximal mapping problem when implementing nmAPG. Finally, the experiment results on synthetic and real-world datasets show the performances and feasibility of our method.作者: Mitigate 時間: 2025-3-22 12:09
Mining Mobile Phone Base Station Data Based on Clustering Algorithms with Application to Public Trafodeling results of (1). Experimental results show that our model based on DBSCAN and GMM can effectively mine the significance of historical data of mobile phone base station and can successfully be applied to real-world problems like public traffic route design.作者: drusen 時間: 2025-3-22 15:48
A Hybrid Method of Sine Cosine Algorithm and Differential Evolution for Feature Selection which helps the SCA to skip the local point. The proposed method is compared with other three algorithms to select the subset of features used eight UCI datasets. The experiments results showed that the proposed method provided better results than other methods in terms of performance measures and statistical test.作者: Glutinous 時間: 2025-3-22 17:08 作者: 荒唐 時間: 2025-3-23 00:48 作者: 去掉 時間: 2025-3-23 03:14
Incremental Matrix Reordering for Similarity-Based Dynamic Data Setspose an original algorithm for the incremental reordering of a similarity matrix adapted to dynamic data sets. The proposed method is compared with state-of-the-art algorithms for static data-sets and applied to a dynamic data-set in order to demonstrate its efficiency.作者: Hla461 時間: 2025-3-23 07:55 作者: 做作 時間: 2025-3-23 09:42 作者: inhibit 時間: 2025-3-23 15:32 作者: bronchiole 時間: 2025-3-23 20:47 作者: 靦腆 時間: 2025-3-23 23:39
Multiclass Imbalanced Classification Using Fuzzy C-Mean and SMOTE with Fuzzy Support Vector Machines based on G-mean and AUC measurements. The results reveal that the proposed technique could handle most of the multiclass imbalanced datasets used in the experiments for all classifiers and retain the integrity of the original data.作者: Meander 時間: 2025-3-24 03:34
Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transitirithm is used to optimize the parameters of SVM regression model. The experimental results demonstrate that the prediction accuracy of the model is close to the fitting accuracy and the modeling time is reduced.作者: GROG 時間: 2025-3-24 08:45 作者: gimmick 時間: 2025-3-24 14:11 作者: Canary 時間: 2025-3-24 16:46 作者: Asparagus 時間: 2025-3-24 22:20 作者: abracadabra 時間: 2025-3-25 01:03
K-Hop Community Search Based on Local Distance Dynamicscted a lot of attention in recent years. However, most of existing metric-based algorithms either tend to include the irrelevant subgraphs in the identified community or have computational bottleneck. Contrary to the user-defined metric algorithm, how can we search the natural community that the que作者: 埋伏 時間: 2025-3-25 05:45 作者: Expostulate 時間: 2025-3-25 08:54
Social and Content Based Collaborative Filtering for Point-of-Interest RecommendationsAlthough previous researches have presented a variety of methods to recommend POIs by utilizing social relation, geographical mobility data and user content profile, they fail to address user/location’s cold-start problem with high-dimensional sparse data, and overlook the compatibility of social re作者: arabesque 時間: 2025-3-25 12:06 作者: exophthalmos 時間: 2025-3-25 16:03
Multiclass Imbalanced Classification Using Fuzzy C-Mean and SMOTE with Fuzzy Support Vector Machinembalanced multiclass classification problem. The mean number of classes is used as the number of instances for applying undersampling and oversampling. Using the mean as the fixed number of the required instances for each class can prevent the within-class imbalance data from being eliminated errone作者: 厚顏 時間: 2025-3-25 22:15 作者: 擦掉 時間: 2025-3-26 02:29
Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transitiily production management, the real-time power consumption is manually recorded from the voltmeter. However, it is difficult to collect the power consumption especially in the dynamic adjustment. In this paper, a power consumption prediction model is proposed for dynamic adjustment in the hydrocrack作者: Sad570 時間: 2025-3-26 04:27
Learning with Partially Shared Features for Multi-Task Learningng the task relationship is essential for multi-task learning. Most previous works assume that related tasks have common shared structure. However, this assumption is too restrictive. In some real-world applications, relevant tasks are partially sharing knowledge at the feature level. In other words作者: infatuation 時間: 2025-3-26 09:46
Power Users Behavior Analysis and Application Based on Large Data database, the paper adopts the method of questionnaire to collect information. Then according to the characteristics of power users, the index system is established, and the index is selected. Different construction methods are adopted for different models. Here, the K-means algorithm is used to cl作者: 串通 時間: 2025-3-26 16:13
Accelerated Matrix Factorisation Method for Fuzzy Clustering exponent parameter compared with traditional fuzzy c-means, and not sensitive to initial conditions. However, F-FCM does not propose an efficient method to solve the constrained problem, and just suggests to use a .() function in MATLAB which lead to slow convergence rate and nonconvergence. In thi作者: 過濾 時間: 2025-3-26 17:49
Mining Mobile Phone Base Station Data Based on Clustering Algorithms with Application to Public Trafper, we extend the classic algorithms to design the shuttle bus route. The contribution of this paper is mainly manifested on (1) we integrate the classical machine learning methods DBSCAN and GMM to complete mobile phone base station data modeling, so that to learn the residents’ spatial travel pat作者: Inoperable 時間: 2025-3-27 00:04 作者: 不如樂死去 時間: 2025-3-27 03:17 作者: 淘氣 時間: 2025-3-27 06:46 作者: 漸變 時間: 2025-3-27 11:20 作者: AGGER 時間: 2025-3-27 16:54 作者: Barter 時間: 2025-3-27 18:11 作者: 柔軟 時間: 2025-3-28 00:42 作者: 逢迎春日 時間: 2025-3-28 03:21
Zhi-Lin Zhao,Ling Huang,Chang-Dong Wang,Jian-Huang Lai,Philip S. YuIn current modelling languages, transitions are usually specified as updates of the system’s variables to be performed when certain conditions are satisfied. However, such a low-level representation makes the description of complex transformations difficult, in particular in the presence of structur作者: engagement 時間: 2025-3-28 06:59 作者: QUAIL 時間: 2025-3-28 11:17
Lijun Cai,Tao Meng,Tingqin He,Lei Chen,Ziyun Dengies and then produce a graphical representation of the process control flow, detect relations between components involved in the process and infer data dependencies between process activities. These process characterisations allow the analyst to . an annotated visual representation of the conceptual作者: FRET 時間: 2025-3-28 14:40
Bo Zhang,Shuqiu Li,Liping Huang,Yongjian YangIn current modelling languages, transitions are usually specified as updates of the system’s variables to be performed when certain conditions are satisfied. However, such a low-level representation makes the description of complex transformations difficult, in particular in the presence of structur作者: graphy 時間: 2025-3-28 22:21
Yi-Ning Xu,Lei Xu,Ling Huang,Chang-Dong Wanges have traditionally been used to tackle complexity, but with increasing heterogeneity of the subsystems, it becomes impossible to find appropriate modelling languages and tools to specify and analyse the system as a whole..Co-simulation is a technique to combine multiple models and their simulator作者: 攤位 時間: 2025-3-29 00:30
Spyros Boukoros,Anupiya Nugaliyadde,Angelos Marnerides,Costas Vassilakis,Polychronis Koutsakis,Kok Wmunicating Sequential Processes) process algebra to model the system as well as some aspects of the user, and PAT (Process Analysis Toolkit) to perform formal verification. We illustrate our methodology on Duolingo, a very popular application for language learning. Two kinds of data are considered: 作者: 拉開這車床 時間: 2025-3-29 06:16
Ratchakoon Pruengkarn,Kok Wai Wong,Chun Che Funglarge models out of submodels, each expressed in the most appropriate formalism. One aspect of this flexibility is the modularity of the co-simulation framework, which allows developers to replace each sub-model with a new version, possibly based on a different formalism or a different simulator, wi作者: COST 時間: 2025-3-29 08:28 作者: cognizant 時間: 2025-3-29 12:10
Xiao-Fang Chen,Ying-Can Qian,Ya-Lin Wangrded on video or low-level sensors (accelerometer, gyroscope, etc.) HAR has important applications in medical care and entertainment. In this paper, we address sensor-based HAR, because it could be deployed on a smartphone and eliminates the need to use additional equipment. Using machine learning m作者: AVERT 時間: 2025-3-29 17:04
Cheng Liu,Wen-Ming Cao,Chu-Tao Zheng,Hau-San Wongrded on video or low-level sensors (accelerometer, gyroscope, etc.) HAR has important applications in medical care and entertainment. In this paper, we address sensor-based HAR, because it could be deployed on a smartphone and eliminates the need to use additional equipment. Using machine learning m作者: 生氣的邊緣 時間: 2025-3-29 21:50
Xiaoya Ren,Guotao Hui,Yanhong Luo,Yingchun Wang,Dongsheng Yang,Ge Qitors and the job satisfaction level of Software Engineers. The author organized the questionnaire that included questions addressing all the metrics identified during GQM activities. Gathered metrics are analyzed on being correlated with workplace contentment of survived developers. The author found作者: Permanent 時間: 2025-3-30 03:15
Mingjun Zhan,Bo Lirded on video or low-level sensors (accelerometer, gyroscope, etc.) HAR has important applications in medical care and entertainment. In this paper, we address sensor-based HAR, because it could be deployed on a smartphone and eliminates the need to use additional equipment. Using machine learning m作者: 流利圓滑 時間: 2025-3-30 07:52
When Shen,Zhihua Wei,Zhiyuan Zhoumply memorizing the concepts. The source codes are downloadable from the book website. The book has three parts: software testability, fault localization, and test data generation...Part I. describes unit and acceptance tests and proposes a new method called testability-driven development (TsDD) in 作者: 組裝 時間: 2025-3-30 11:15 作者: 安心地散步 時間: 2025-3-30 13:02
Mohamed E. Abd Elaziz,Ahmed A. Ewees,Diego Oliva,Pengfei Duan,Shengwu Xiongmply memorizing the concepts. The source codes are downloadable from the book website. The book has three parts: software testability, fault localization, and test data generation...Part I. describes unit and acceptance tests and proposes a new method called testability-driven development (TsDD) in 作者: entail 時間: 2025-3-30 19:36 作者: chondromalacia 時間: 2025-3-30 23:26
Dong Huang,Chang-Dong Wang,Jian-Huang Laieliability of automated test techniques. Techniques that play well during demos of testing tools often are not the optimal techniques to apply on a running project. This book highlights those differences, helping you apply techniques that are repeatable and callable in professionally run software de作者: Tonometry 時間: 2025-3-31 01:02 作者: Nucleate 時間: 2025-3-31 08:04
978-3-319-70138-7Springer International Publishing AG 2017作者: capsule 時間: 2025-3-31 09:17 作者: 鍍金 時間: 2025-3-31 16:36
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/663611.jpg作者: GEST 時間: 2025-3-31 19:10
