標(biāo)題: Titlebook: Neural Information Processing; 27th International C Haiqin Yang,Kitsuchart Pasupa,Irwin King Conference proceedings 2020 Springer Nature Sw [打印本頁(yè)] 作者: 懇求 時(shí)間: 2025-3-21 17:28
書(shū)目名稱Neural Information Processing影響因子(影響力)
書(shū)目名稱Neural Information Processing影響因子(影響力)學(xué)科排名
書(shū)目名稱Neural Information Processing網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Neural Information Processing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Neural Information Processing被引頻次
書(shū)目名稱Neural Information Processing被引頻次學(xué)科排名
書(shū)目名稱Neural Information Processing年度引用
書(shū)目名稱Neural Information Processing年度引用學(xué)科排名
書(shū)目名稱Neural Information Processing讀者反饋
書(shū)目名稱Neural Information Processing讀者反饋學(xué)科排名
作者: 背叛者 時(shí)間: 2025-3-21 20:55 作者: Vital-Signs 時(shí)間: 2025-3-22 03:09
978-3-030-63832-0Springer Nature Switzerland AG 2020作者: 失望昨天 時(shí)間: 2025-3-22 08:20 作者: 壯觀的游行 時(shí)間: 2025-3-22 08:53
ans across several years and product generations..We illustrate the method we use to describe legacy product family architecture and manage its evolution. To describe of the family architecture we use two separate documents. The reference architecture, which describes the abstract architecture that 作者: chance 時(shí)間: 2025-3-22 14:35
f models, each with its own unique strengths and weaknesses in general, and even more importantly, in relation to the environment and context in which it is to be applied..Trendowicz and Jeffery present a comprehensive look at the principles of software effort estimation and support software practit作者: 新字 時(shí)間: 2025-3-22 18:14 作者: Progesterone 時(shí)間: 2025-3-22 22:14 作者: 嘮叨 時(shí)間: 2025-3-23 03:42 作者: 出汗 時(shí)間: 2025-3-23 08:10
Jian-Ping Xiao,Xiao-Min Hu,Wei-Neng Chenf models, each with its own unique strengths and weaknesses in general, and even more importantly, in relation to the environment and context in which it is to be applied..Trendowicz and Jeffery present a comprehensive look at the principles of software effort estimation and support software practit作者: LAVE 時(shí)間: 2025-3-23 12:59
Senhua Zhao,Yue-Jiao Gong,Xiaolin Xiaofor improving human relationships by allowing transparency i.In .Software Project Estimation., author Dimitre Dimitrov extrapolates upon the most crucial steps in accurately and meaningfully forecasting the timeline and specs of promised deliverables to clients. A client’s positive experience with p作者: GIDDY 時(shí)間: 2025-3-23 17:46 作者: HAVOC 時(shí)間: 2025-3-23 20:19
for improving human relationships by allowing transparency i.In .Software Project Estimation., author Dimitre Dimitrov extrapolates upon the most crucial steps in accurately and meaningfully forecasting the timeline and specs of promised deliverables to clients. A client’s positive experience with p作者: 圖表證明 時(shí)間: 2025-3-23 22:20 作者: PLUMP 時(shí)間: 2025-3-24 05:49
Marcin Szulc,Jakub ?yskawa,Pawe? Wawrzyńskithe main reasons for low performance is attributed to ineffective project management. Even though there is an established body of knowledge in project management, the current performance in software projects calls for more research on software project management. We need new theories, models, and fr作者: LATE 時(shí)間: 2025-3-24 08:26
Linhao Luo,Kai Liu,Dan Peng,Yaolin Ying,Xiaofeng Zhanguse multiple stages to form a life cycle for the creation of a system. Large projects often have elements of both software and data engineering. These are usually kept independent from each other as the development approaches are quite divergent; software engineering tends to be top-down, prescripti作者: Rejuvenate 時(shí)間: 2025-3-24 14:02
Adrien Fois,Bernard Giraud around-the-clock work with the time zone differences. One of the most daunting challenges is to address the issues relating to communication and coordination and the unnecessary project delays often caused by miscommunication and improper coordination. There are many more issues in multisite softw作者: 極肥胖 時(shí)間: 2025-3-24 15:54 作者: pulmonary-edema 時(shí)間: 2025-3-24 22:17
Lingyun Mi,Bo Dong,Bin Shi,Qinghua Zhengtheir processes more change-adaptive. The selected chapters closely correspond to the project management knowledge areas introduced by the Project Management Body of Knowledge, including its extension for managing software projects..The contributions are grouped into four parts, preceded by a genera作者: 預(yù)感 時(shí)間: 2025-3-24 23:37 作者: 樂(lè)意 時(shí)間: 2025-3-25 05:31 作者: Detain 時(shí)間: 2025-3-25 10:17
Paul Black,Ammar Sohail,Iqbal Gondal,Joarder Kamruzzaman,Peter Vamplew,Paul Watters, design, or code, and project knowledge, such as project plans, decisions, and work items. In this chapter, we study two kinds of project knowledge: work items and decisions. Work items document what should or has been done by whom and when. Decisions represent the solution to a decision problem. T作者: Graphite 時(shí)間: 2025-3-25 15:43
Yaoman Li,Irwin King, design, or code, and project knowledge, such as project plans, decisions, and work items. In this chapter, we study two kinds of project knowledge: work items and decisions. Work items document what should or has been done by whom and when. Decisions represent the solution to a decision problem. T作者: BOGUS 時(shí)間: 2025-3-25 17:00 作者: Abbreviate 時(shí)間: 2025-3-25 21:47
Adaptive Risk-Return Control in Motor Planning findings from spatial reaching and coincident timing tasks have challenged this theory by revealing that humans exhibited risk-seeking or risk-aversive rather than risk-neutral tendency (i.e., failed to achieve Bayesian optimality) in asymmetric gain functions (the gain/loss asymmetric to the targe作者: 貪婪地吃 時(shí)間: 2025-3-26 04:01
Discrete Mother Tree Optimization for the Traveling Salesman Problemproblems. MTO is built on an offspring topology and a set of cooperating agents. In this paper, we first present a discrete version of MTO, that we call Discrete MTO (DMTO), for solving the Traveling Salesman Problem (TSP). DMTO is based on a new swap operation that is best suited for TSPs. We also 作者: Evolve 時(shí)間: 2025-3-26 07:20 作者: insolence 時(shí)間: 2025-3-26 08:43 作者: 容易生皺紋 時(shí)間: 2025-3-26 13:35
Real Valued Card Counting Strategies for?the Game of Blackjacklculate whether the next hand is likely to be in the favor of the player or the dealer. A card counting system assigns point values (weights) to the cards. Summing the point values of the already played cards gives a concise numerical estimate of how advantageous the remaining cards are for the play作者: 忘恩負(fù)義的人 時(shí)間: 2025-3-26 18:17
A Feature Selection Approach to Visual Domain Adaptation in Classificatione an enormous amount of unlabeled datasets available in the form of images, videos, audios, articles, and many more. The major challenge we face is to train our classification model with primitive machine learning algorithms because these algorithms only expect labeled data. To overcome these limita作者: PON 時(shí)間: 2025-3-26 23:36 作者: 晚間 時(shí)間: 2025-3-27 04:15 作者: 健談的人 時(shí)間: 2025-3-27 08:04
A Spiking Neural Architecture for Vector Quantization and Clusteringattain. Moreover these architectures make use of rate codes that require an unplausible high number of spikes and consequently a high energetical cost. This paper presents for the first time a SNN architecture that uses temporal codes, more precisely first-spike latency code, while performing compet作者: 煩憂 時(shí)間: 2025-3-27 10:05
A Survey of Graph Curvature and?Embedding in Non-Euclidean Spaces ranging from social network graphs, brain images, sensor networks to 3-dimensional objects. To understand the underlying geometry and functions of these high dimensional discrete data with non-Euclidean structure, it requires their representations in non-Euclidean spaces. Recently, graph embedding 作者: 擔(dān)憂 時(shí)間: 2025-3-27 15:32
A Tax Evasion Detection Method Based on Positive and Unlabeled Learning with Network Embedding Featubeled taxpayers who evade tax (positive samples) and a large number of unlabeled taxpayers who either evade tax or do not evade tax. It is difficult to address this issue due to this nontraditional dataset. In addition, the basic features of taxpayers designed according to tax experts’ domain knowle作者: 衣服 時(shí)間: 2025-3-27 20:49 作者: 碎片 時(shí)間: 2025-3-28 01:51 作者: AVID 時(shí)間: 2025-3-28 02:46 作者: 審問(wèn) 時(shí)間: 2025-3-28 08:43
AutoGraph: Automated Graph Neural Networkme state-of-the-art GNN models have been proposed, e.g., Graph Convolutional Networks (GCNs), Graph Attention Networks (GATs), etc. Despite these successes, most of the GNNs only have shallow structure. This causes the low expressive power of the GNNs. To fully utilize the power of the deep neural n作者: 欄桿 時(shí)間: 2025-3-28 14:08
Automatic Curriculum Generation by Hierarchical Reinforcement Learning efficiency than traditional reinforcement learning algorithms because curriculum learning enables agents to learn tasks in a meaningful order: from simple tasks to difficult ones. However, most curriculum learning in RL still relies on fixed hand-designed sequences of tasks. We present a novel sche作者: 中國(guó)紀(jì)念碑 時(shí)間: 2025-3-28 17:16 作者: Ataxia 時(shí)間: 2025-3-28 18:51 作者: myelography 時(shí)間: 2025-3-28 22:58
Jianxin Peng,Suogui Dang,Rui Yan,Huajin Tange book offers invaluable insights into project management in general, discussing issues including project trade-offs, risk assessment, and organizational learning..Overall, the authors deliver an essential reference work for software practitioners responsible for software effort estimation and plann作者: 咆哮 時(shí)間: 2025-3-29 05:18 作者: 體貼 時(shí)間: 2025-3-29 10:33
Wael Korani,Malek Mouhoubwn book (at least one) and thus is beyond the scope of this work; in Appendix A, we briefly present the most common ways of measuring software size with their most prominent strengths and weaknesses. In this chapter, we discuss common factors that determine software development productivity and thus作者: AGONY 時(shí)間: 2025-3-29 12:28 作者: CODA 時(shí)間: 2025-3-29 18:53 作者: 舊石器 時(shí)間: 2025-3-29 21:11 作者: archetype 時(shí)間: 2025-3-30 01:54 作者: 種族被根除 時(shí)間: 2025-3-30 04:21
Linhao Luo,Kai Liu,Dan Peng,Yaolin Ying,Xiaofeng Zhangof best practices. The central aspect of the methodology is a table which is used to define the synchronisation points between the two development domains, where collaboration between the separate life cycles can occur. Developers engaged in either life cycle can use a synchronisation table created 作者: invade 時(shí)間: 2025-3-30 08:55 作者: 咒語(yǔ) 時(shí)間: 2025-3-30 16:00 作者: 加花粗鄙人 時(shí)間: 2025-3-30 16:40
Lingyun Mi,Bo Dong,Bin Shi,Qinghua Zhengand open and inner-source development. Finally, Part IV “Emerging Techniques” introduces search-based tech-niques, social media, software process simulation and the efficient use of empirical data and their effects on software-management practices..This book will attract readers from both academia a作者: miscreant 時(shí)間: 2025-3-30 22:57
Jing Li,Qiu-Feng Wang,Rui Zhang,Kaizhu Huang. Following consideration of outcomes and time, the chapter offers a series of vignettes and mini case studies that highlight the rich interplay between the four levels of success, before addressing the types of measures underpinning the four levels and the need to develop a multi-dimensional perspe作者: Arthropathy 時(shí)間: 2025-3-31 02:17
Yang Chang,Huifang Ma,Yun Su,Zhixin Liutsourcing and offers many practical hints and concrete explanations to make global software engineering (GSE) a success. Starting with the necessary foundations, the chapter indicates what solutions are available to successfully implement GSE. It underlines the basic concepts and practices of GSE w作者: 終點(diǎn) 時(shí)間: 2025-3-31 05:22
Paul Black,Ammar Sohail,Iqbal Gondal,Joarder Kamruzzaman,Peter Vamplew,Paul Watterscontrast to issue trackers, which are widespread, these approaches are considered as overhead in industry. In this chapter, we argue that work items and decisions should be managed together with the system knowledge. This has several benefits for project management processes, such as project plannin作者: 性滿足 時(shí)間: 2025-3-31 09:53 作者: Aromatic 時(shí)間: 2025-3-31 15:22 作者: JIBE 時(shí)間: 2025-3-31 19:22 作者: 細(xì)微差別 時(shí)間: 2025-3-31 23:09 作者: 本能 時(shí)間: 2025-4-1 03:49
A Spiking Neural Architecture for Vector Quantization and Clusteringstance-dependent lateral interaction profile making competitive and cooperative processes able to operate. The STDP rule operates between those two layers so as to learn the inputs by adapting the synaptic weights. State-of-the art performances are demonstrated on the MNIST and natural image dataset
