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(yè)] 作者: ALLY 時(shí)間: 2025-3-21 18:22
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(kāi)度
書目名稱Neural Information Processing網(wǎng)絡(luò)公開(kāi)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: 空中 時(shí)間: 2025-3-22 00:09 作者: FRONT 時(shí)間: 2025-3-22 00:33
Kebin Peng,Dianfu Man be automatically generated from example data to reduce the cost and improve the accuracy. The premises of the found rules consist of metrics drawing conclusions on the desired quality factors. The generated quality model - with respect to changes 2D provides both quality of fit (according to past 作者: iodides 時(shí)間: 2025-3-22 05:30
Qazi Sami Ullah Khan,Jianwu Li,Shuyang Zhaon be automatically generated from example data to reduce the cost and improve the accuracy. The premises of the found rules consist of metrics drawing conclusions on the desired quality factors. The generated quality model - with respect to changes 2D provides both quality of fit (according to past 作者: 連鎖,連串 時(shí)間: 2025-3-22 09:56
Oyebade K. Oyedotun,Abd El Rahman Shabayek,Djamila Aouada,Bj?rn Ottersten software systems that incorporateparticular methods of design diversity and fault recovery. ..Software Performability: From Concepts to Applications. will beof direct benefit to both practitioners and researchers in the area ofperformance and dependability evaluation, fault-tolerant computing,and d作者: 我邪惡 時(shí)間: 2025-3-22 14:23 作者: Certainty 時(shí)間: 2025-3-22 18:24 作者: cushion 時(shí)間: 2025-3-23 00:39 作者: Migratory 時(shí)間: 2025-3-23 05:09
Zhanhao Hu,Tao Wang,Xiaolin Huh effects in a typical environment, and surveys as a means to explore such effects on a large scale, with very little control over the context. Finally, experiment sequences as a means to learn from a number of (related or unrelated) empirical studies are described. Figure 6.1 displays the chapter s作者: Obverse 時(shí)間: 2025-3-23 06:55
Liang Chen,Yuxuan Zhuang,Jinghua Zhang,Jianming Wangocess handbook or EPG: Any new or changed process must be deployed in a systematic manner, to cause as little unnecessary pain for the organization as possible. The fourth part of this chapter thus discusses the deployment of a prescriptive process model to an organization. Figure 2.1 displays the c作者: 失望未來(lái) 時(shí)間: 2025-3-23 11:20 作者: GRAIN 時(shí)間: 2025-3-23 16:51 作者: LUCY 時(shí)間: 2025-3-23 19:59
Yoshihiro Ohama,Takayoshi Yoshimurant with timely reporting of project progress. As a result, the resource planning and scheduling to control the change requirements was made available with ease. These practical managerial processes could make it possible to identify and resolve critical issues and risks at an early stage and eventua作者: HOWL 時(shí)間: 2025-3-23 23:32 作者: NEEDY 時(shí)間: 2025-3-24 02:59 作者: 眨眼 時(shí)間: 2025-3-24 09:44 作者: condone 時(shí)間: 2025-3-24 13:59 作者: 富饒 時(shí)間: 2025-3-24 18:47
Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections without employing any form of data augmentation (or manipulation). On the MNIST dataset, we reach a comparable state-of-the-art error rate of 0.52%. Particularly, these results are achieved without employing any explicit regularization technique.作者: 內(nèi)疚 時(shí)間: 2025-3-24 21:17
An Ultrasonic Image Recognition Method for Papillary Thyroid Carcinoma Based on Depth Convolution Neat the detailed ultrasound image diagnostic report can be received. The experimental results show that the recognition accuracy of the Faster RCNN is higher, the training time is shorter and the efficiency is higher compared with that of the original Faster RCNN.作者: 無(wú)所不知 時(shí)間: 2025-3-25 01:14 作者: Misgiving 時(shí)間: 2025-3-25 06:44
Patterns Versus Characters in Subword-Aware Neural Language Modelingentation. In the task of subword-aware language modeling, pattern-based models outperform character-based analogues by 2–20 perplexity points. Also, a recurrent neural network in which a word is represented as a sum of embeddings of its patterns is on par with a competitive and significantly more so作者: Commodious 時(shí)間: 2025-3-25 09:18
Weijie An,Qin Chen,Yan Yang,Liang Helications. will beof direct benefit to both practitioners and researchers in the area ofperformance and dependability evaluation, fault-tolerant computing,and d978-1-4612-8569-4978-1-4613-1325-0Series ISSN 0893-3405 作者: 強(qiáng)壯 時(shí)間: 2025-3-25 14:35
Wei Ke,Yonghua Wang,Pin Wan,Weiwei Liu,Hailiang Lilan-based product line development. Open Source, COTS and community-developed software are becoming more popular. Outsourcing coupled with 24/7 development dema978-3-540-34199-4978-3-540-34201-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 滴注 時(shí)間: 2025-3-25 18:23
0302-9743 me-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.?.978-3-319-70095-3978-3-319-70096-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: HALL 時(shí)間: 2025-3-25 23:58 作者: 制定法律 時(shí)間: 2025-3-26 02:13
rt estimations and staffing decisions are often based on productivity knowledge of the software development process. Quality-based productivity management is introduced as one approach for achieving and using such process knowledge. Fuzzy rules are used as a basis for constructing quality models tha作者: Incise 時(shí)間: 2025-3-26 08:03
rt estimations and staffing decisions are often based on productivity knowledge of the software development process. Quality-based productivity management is introduced as one approach for achieving and using such process knowledge. Fuzzy rules are used as a basis for constructing quality models tha作者: Ballerina 時(shí)間: 2025-3-26 09:09
Kebin Peng,Dianfu Mart estimations and staffing decisions are often based on productivity knowledge of the software development process. Quality-based productivity management is introduced as one approach for achieving and using such process knowledge. Fuzzy rules are used as a basis for constructing quality models tha作者: 阻礙 時(shí)間: 2025-3-26 15:00
Qazi Sami Ullah Khan,Jianwu Li,Shuyang Zhaort estimations and staffing decisions are often based on productivity knowledge of the software development process. Quality-based productivity management is introduced as one approach for achieving and using such process knowledge. Fuzzy rules are used as a basis for constructing quality models tha作者: HAIL 時(shí)間: 2025-3-26 17:04 作者: conjunctiva 時(shí)間: 2025-3-26 23:45
Weijie An,Qin Chen,Yan Yang,Liang Heft and spacecraft), and air traffic control.Moreover, experience has shown that the dependability of such systemsis particularly sensitive to that of its software components, both thesystem software of the embedded computers and the application softwarethey support. ..Software Performability: From C作者: BATE 時(shí)間: 2025-3-27 02:18
Dehua Chen,Guangjun Qian,Cheng Shi,Qiao Pantions from a prospective of today.Includes supplementary matA lucid statement of the philosophy of modular programming can be found in a 1970 textbook on the design of system programs by Gouthier and Pont [1, l Cfl0. 23], which we quote below: A well-defined segmentation of the project effort ensure作者: AUGER 時(shí)間: 2025-3-27 07:09
Shanru Li,Liping Wang,Shuang Yang,Yuanquan Wang,Chongwen Wanghe supporting technology. Unlike compilers, editors etc., PCEs primarily affect how work is performed rather than what is produced. PCEs provide the “glue” that actively manages the flow of work between people and their tools. Thus the issues that must be addressed in their adoption are significantl作者: Truculent 時(shí)間: 2025-3-27 11:08 作者: Counteract 時(shí)間: 2025-3-27 17:39 作者: opinionated 時(shí)間: 2025-3-27 20:14
Wei Ke,Yonghua Wang,Pin Wan,Weiwei Liu,Hailiang Liare Process Simulation and Modeling (SPW/ProSim 2006) held in Shanghai, P.R. China, on May 20-21, 2006. The theme of SPW/ProSim 2006 was “Software Process Change – Meeting the Challenge.” Software developers are under ever-increasing pressure to deliver their products more quickly and with higher le作者: 報(bào)復(fù) 時(shí)間: 2025-3-28 01:29 作者: cumulative 時(shí)間: 2025-3-28 04:13
Liang Chen,Yuxuan Zhuang,Jinghua Zhang,Jianming Wangd improvement goals. It is structured into four main parts. First, two major classes of prescriptive process models are distinguished: lifecycle models and engineering models. These classes are described and discussed with respect to their advantages and challenges. Second, a number of widely used p作者: 細(xì)絲 時(shí)間: 2025-3-28 06:23 作者: cylinder 時(shí)間: 2025-3-28 14:30
Jeff Orchard,Louis Castricatoontext, benchmarking is mainly for projects rather than software development tasks. Can we benchmark software development tasks? If so, how to? Moreover, benchmarking software development tasks has to deal with multivariate and variable return to scale (VRS). This paper reports practical experience 作者: Living-Will 時(shí)間: 2025-3-28 16:38 作者: Demulcent 時(shí)間: 2025-3-28 21:48
Jizhao Zhu,Jianzhong Qiao,Xinxiao Dai,Xueqi Chengmanagerial efforts due to seemingly never-ending user requirements that certainly add to complexity of project management. We emphasized the importance of progress, operationalized as a function of size and fault. Moreover, it is important that the progress be reported regularly and timely which nec作者: 殺子女者 時(shí)間: 2025-3-29 02:21 作者: Pcos971 時(shí)間: 2025-3-29 04:15
Rustem Takhanov,Zhenisbek Assylbekovprovement. All software projects encounter software faults during development and have to put much effort into locating and fixing these. A lot of information is produced when handling faults, through fault reports. This paper reports a study of fault reports from industrial projects, where we seek 作者: 懸掛 時(shí)間: 2025-3-29 07:55 作者: 咽下 時(shí)間: 2025-3-29 13:03
Tree-Structure CNN for Automated Theorem?Provingn this paper, we present a novel neural network, which can effectively help people to finish this work. Specifically, we design a tree-structure CNN, involving bidirectional LSTM. We compare our model with other neural network models and make experiments on HOLStep dataset, which is a machine learni作者: Interferons 時(shí)間: 2025-3-29 18:52 作者: RALES 時(shí)間: 2025-3-29 23:27
Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connectionsre reuse; that is, features are ‘diluted’ as they are forward propagated through the model. Hence, later network layers receive less informative signals about the input data, consequently making training less effective. In this work, we address the problem of feature reuse by taking inspiration from作者: 褪色 時(shí)間: 2025-3-30 01:23
Knowledge Memory Based LSTM Model for Answer Selectioned to enhance the information interaction between questions and answers, knowledge is still the gap between their representations. In this paper, we propose a knowledge memory based RNN model, which incorporates the knowledge learned from the data sets into the question representations. Experiments 作者: 橫條 時(shí)間: 2025-3-30 07:31 作者: epicardium 時(shí)間: 2025-3-30 10:33 作者: Herbivorous 時(shí)間: 2025-3-30 15:53
Two-Stage Temporal Multimodal Learning for Speaker and Speech Recognitiondel the temporal information in multimodal sequences. At the first learning stage, static representative features are extracted from each modality at every time step. Then joint representations across various modalities are effectively learned within a joint fusion layer. The second one is to transf作者: 飾帶 時(shí)間: 2025-3-30 17:27
SLICE: Structural and Label Information Combined Embedding for Networksch encodes local or global network structures. While these methods show improvements over traditional representations on node classification tasks, they ignore label information until the learnt embeddings are used for training classifier. That is, the process of representation learning is separated作者: 連接 時(shí)間: 2025-3-30 22:15 作者: 植物群 時(shí)間: 2025-3-31 01:21 作者: 終端 時(shí)間: 2025-3-31 07:22 作者: PET-scan 時(shí)間: 2025-3-31 12:01 作者: Devastate 時(shí)間: 2025-3-31 16:39
Combating Adversarial Inputs Using a Predictive-Estimator Networkield a classification with a high confidence. But perception is a two-way process, involving the interplay between feedforward sensory input and feedback expectations. In this paper, we construct a predictive estimator (PE) network, incorporating generative (predictive) feedback, and show that the P作者: 弄皺 時(shí)間: 2025-3-31 20:56 作者: Infraction 時(shí)間: 2025-4-1 00:21 作者: 沙發(fā) 時(shí)間: 2025-4-1 05:52
Comparing Hybrid NN-HMM and RNN for Temporal Modeling in Gesture Recognitionand Recurrent Neural Networks (RNN) which have lately claimed the state-the-art performances. Experiments were conducted on both models in the same body of work, with similar representation learning capacity and comparable computational costs. For both solutions, we have integrated recent contributi作者: 作嘔 時(shí)間: 2025-4-1 09:09
Patterns Versus Characters in Subword-Aware Neural Language Modelingnd suffixes with which various nuances and relations to other words can be expressed. Thus, in order to build a proper word representation one must take into account its internal structure. From a corpus of texts we extract a set of frequent subwords and from the latter set we select patterns, i.e. 作者: Glycogen 時(shí)間: 2025-4-1 12:20 作者: Delude 時(shí)間: 2025-4-1 18:16
Conference proceedings 2017 Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.?.作者: 發(fā)牢騷 時(shí)間: 2025-4-1 20:05
Breast Cancer Malignancy Prediction Using Incremental Combination of Multiple Recurrent Neural Netwoes of clinical text including B-ultrasound, X-rays, Computed Tomography (CT), and Nuclear Magnetic Resonance Imaging (MRI), and then combines the generated features in an incremental way. Finally, we add one more recurrent neural network layer for classifying benign and malignant of breast cancer based on combined generated features.作者: 擦試不掉 時(shí)間: 2025-4-2 00:52
TinyPoseNet: A Fast and Compact Deep Network for Robust Head Pose Estimation so on. In addition, we introduce large angle data in Multi-PIE to verify the ability of dealing with large-scale pose in practice. All the experiments demonstrate the advantages of the proposed model.
