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標(biāo)題: Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable [打印本頁]

作者: amateur    時(shí)間: 2025-3-21 17:06
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: Infiltrate    時(shí)間: 2025-3-21 23:03
o complementary paradigms: under-approximation (or animation-based) and over-approximation (or proof-based). We applied these paradigms in order to produce behavioural state/chart views from B models and we carried out an empirical study to assess the quality and relevance of these graphical represe
作者: OTTER    時(shí)間: 2025-3-22 00:52
Shuxiao Song,Xiao Yu,Yuexuan Ma,Jiale Li,Jie Yuve logic programming for learning repairs to system components while ensuring no new errors are introduced and interactions with other components are maintained. These two phases are iterated until a correct specification is reached, enabling rigorous and scalable support for automated analysis and
作者: 強(qiáng)所    時(shí)間: 2025-3-22 06:08
Xiaohan Zhou,Yuzhe Liu,Wei Sun,Qiang Yuso quickly identifies unsafe models. As a bonus, it adds testing capabilities to Cubicle, such as the ability to detect deadlocks..Our first experiments have yielded promising results. CFL effectively allows Cubicle to generate crucial invariants, useful to handle hierarchical systems, while also be
作者: 粉筆    時(shí)間: 2025-3-22 11:49

作者: GEAR    時(shí)間: 2025-3-22 13:59

作者: 聰明    時(shí)間: 2025-3-22 21:07
Jiaji Qin,Chao Gao,Dingkun Wangrmalized as an interface automaton. Following common practice in network programming, our vertical contract uses an asynchronous atomic callback (AAC) pattern. The formal composition of these interface automata allows us to reason about the combination of a timed actor model and the AAC pattern, ena
作者: 有毛就脫毛    時(shí)間: 2025-3-23 00:09

作者: QUAIL    時(shí)間: 2025-3-23 01:26

作者: Collar    時(shí)間: 2025-3-23 06:51
Wenchang Zhang,Kaiqiang Zhang,Linling Jiang,Fan Zhangrmalized as an interface automaton. Following common practice in network programming, our vertical contract uses an asynchronous atomic callback (AAC) pattern. The formal composition of these interface automata allows us to reason about the combination of a timed actor model and the AAC pattern, ena
作者: prostatitis    時(shí)間: 2025-3-23 13:37

作者: Incumbent    時(shí)間: 2025-3-23 14:25
Xianglong Li,Yuan Li,Jieyuan Zhang,Xinhai Xu,Donghong Liurmalized as an interface automaton. Following common practice in network programming, our vertical contract uses an asynchronous atomic callback (AAC) pattern. The formal composition of these interface automata allows us to reason about the combination of a timed actor model and the AAC pattern, ena
作者: 債務(wù)    時(shí)間: 2025-3-23 20:33

作者: 除草劑    時(shí)間: 2025-3-24 02:16

作者: thalamus    時(shí)間: 2025-3-24 03:27
Shijun Guo,Haoran Xu,Guangqiang Xie,Di Wen,Yangru Huang,Peixi Peng can then be used to develop the executable code. The natural mappings among the models for requirements, the formal models, and the executable code improve the effectiveness and efficiency of the approach. It also helps in runtime monitoring and adaptation.
作者: Polydipsia    時(shí)間: 2025-3-24 06:58
Xiangyu Chen,Rong Xiao,Qirui Yang,Jiancheng LvI serves the purpose of humanising AI in terms of making AI more verifiable, more explainable, more causally accountable, more ethical, and thus closer to general intelligence. We especially emphasise the ethical advantage of Integrated AI. We also briefly touch upon the Turing Test for Ethical AI,
作者: 主講人    時(shí)間: 2025-3-24 12:27
Zhibo Wei,Liying Zheng can then be used to develop the executable code. The natural mappings among the models for requirements, the formal models, and the executable code improve the effectiveness and efficiency of the approach. It also helps in runtime monitoring and adaptation.
作者: sinoatrial-node    時(shí)間: 2025-3-24 18:37

作者: Conquest    時(shí)間: 2025-3-24 21:09

作者: 統(tǒng)治人類    時(shí)間: 2025-3-25 02:28
Haochen Xue,Mingyu Jin,Chong Zhang,Yuxuan Huang,Qian Weng,Xiaobo Jina factor of 3–10. This has theoretical implications in terms of understanding emotion and mechanisms that may cast light on related phenomena such as creativity and serendipity. It also has potential practical applications in improving machine leaning and maybe even alleviating dysfunctional regret.
作者: 貪婪地吃    時(shí)間: 2025-3-25 07:16
Time-Warp-Invariant Processing with?Multi-spike Learningt show the time-warp invariant characteristic of a conductance-based neuron model, based on which we then develop a new multi-spike learning algorithm for time-warp-invariant processing. Experimental results for speech recognition highlight the outstanding robustness of our algorithm against tempora
作者: 打包    時(shí)間: 2025-3-25 10:35
ECOST: Enhanced CoST Framework for?Fast and?Accurate Time Series Forecastinged for storing past trend features, improving the learning of trend nuances. Our ECoST model has shown significant improvements, with an increase in prediction accuracy by 8.5% and a 74% enhancement in training time efficiency compared to the CoST model. These results were validated through experime
作者: barium-study    時(shí)間: 2025-3-25 15:17
LCformer: Linear Convolutional Decomposed Transformer for Long-Term Series Forecastinger consumption on long-term series prediction problems. Experimental results on two different types of benchmark datasets show that the LCformer exhibits better prediction performance compared to those of the state-of-the-art Transformer-based methods, and exhibits near linear complexity for long se
作者: 共同確定為確    時(shí)間: 2025-3-25 17:46

作者: MUT    時(shí)間: 2025-3-25 21:42

作者: Pedagogy    時(shí)間: 2025-3-26 01:33

作者: SKIFF    時(shí)間: 2025-3-26 08:01

作者: PATHY    時(shí)間: 2025-3-26 08:33

作者: 謊言    時(shí)間: 2025-3-26 13:53
Reinforcement Learning-Based Consensus Reaching in?Large-Scale Social Networksnd exploitation algorithm based on policy gradient is designed to optimize the model. Based on the reward values in inter-agent interaction process, the agents can adaptively learn the neighbor reweighting strategy with multi-objective trade-off abilities. Extensive simulations demonstrate that the
作者: 否決    時(shí)間: 2025-3-26 19:32

作者: white-matter    時(shí)間: 2025-3-27 01:01
Label Selection Approach to?Learning from?Crowdsd to almost all variants of supervised learning problems by simply adding a selector network and changing the objective function for existing models, without explicitly assuming a model of the noise in crowd annotations. The experimental results show that the performance of the proposed method is al
作者: 背信    時(shí)間: 2025-3-27 01:58
Multi-model Smart Contract Vulnerability Detection Based on BiGRUrket, and their security research has attracted much attention in the academic community. Traditional smart contract detection methods rely heavily on expert rules, resulting in low detection precision and efficiency. This paper explores the effectiveness of deep learning methods on smart contract d
作者: CAND    時(shí)間: 2025-3-27 06:45
Time-Warp-Invariant Processing with?Multi-spike Learnings both spatial and temporal dimensions. Learning of such a clue information could be challenging, especially considering the case of long-delayed reward. This temporal credit assignment problem has been solved by a new concept of aggregate-label learning that motivates the development of a family of
作者: DEAWL    時(shí)間: 2025-3-27 12:16

作者: 索賠    時(shí)間: 2025-3-27 15:41

作者: TRAWL    時(shí)間: 2025-3-27 19:55

作者: CRP743    時(shí)間: 2025-3-28 01:14

作者: MIRE    時(shí)間: 2025-3-28 02:52

作者: 是貪求    時(shí)間: 2025-3-28 08:16
Multi-scale Multi-step Dependency Graph Neural Network for?Multivariate Time-Series Forecastingg dependencies between variables and the weak correlation in time-series across different time scales. To overcome these challenges, we proposed a graph neural network-based multi-scale multi-step dependency (GMSSD) model. To capture temporal dependencies in time-series data, we first designed a tem
作者: Monocle    時(shí)間: 2025-3-28 13:37

作者: 溫室    時(shí)間: 2025-3-28 15:10

作者: 諷刺    時(shí)間: 2025-3-28 19:20
A Distributed ,WTA for?Decentralized Auctionstputs; . is a positive constant and . is the neighbor set of the . node. If ., both . and . converge in finite-time; . if and only if . is one of the . largest inputs; and . (resp. .) if . (resp. .). Accordingly, our .WTA is the best algorithm to be applied as a decentralized mechanism for sealed-bi
作者: 煤渣    時(shí)間: 2025-3-28 23:20

作者: chapel    時(shí)間: 2025-3-29 04:19

作者: 綠州    時(shí)間: 2025-3-29 10:32

作者: Anthropoid    時(shí)間: 2025-3-29 11:27

作者: RENIN    時(shí)間: 2025-3-29 17:54

作者: alliance    時(shí)間: 2025-3-29 21:37
New Stability Criteria for?Markov Jump Systems Under DoS Attacks and?Packet Loss via?Dynamic Event-Tnamic event-triggered mechanism(DETM). Different from the existing results, this paper not only considers the impacts of periodic DoS attacks on the system, but also considers random packet loss during the sleeping-period of DoS attacks. Firstly, the Bernoulli distribution is used to model the pheno
作者: floaters    時(shí)間: 2025-3-30 00:33

作者: 徹底明白    時(shí)間: 2025-3-30 07:31

作者: mechanical    時(shí)間: 2025-3-30 08:21

作者: Melanoma    時(shí)間: 2025-3-30 12:25

作者: Neonatal    時(shí)間: 2025-3-30 17:19

作者: 啜泣    時(shí)間: 2025-3-30 22:05
Yao Wang,Chuang Gao,Haifeng Yucumenting program code, for program understanding, and to enable modular program verification. In this paper, we focus on contracts for stateful software modules, for instance modules implementing data-structures like queues. Such modules offer different kinds of functions to their environment: . wh
作者: wall-stress    時(shí)間: 2025-3-31 03:42

作者: COUCH    時(shí)間: 2025-3-31 07:04

作者: 高談闊論    時(shí)間: 2025-3-31 09:16

作者: BRUNT    時(shí)間: 2025-3-31 16:53
Victor Parque,Tomoyuki Miyashita, it examines an architecture for IoT applications where so-called “accessors” provide an actor-oriented proxy for devices (“things”) and services. Following the principles of actor models, an accessor reacts to input stimuli and produces outputs that can stimulate reactions in other accessors or ac
作者: abolish    時(shí)間: 2025-3-31 20:12





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