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检索条件"丛书名=Lecture Notes in Computer Science - Theoretical Computer Science and General Issues"
341 条 记 录,以下是91-100 订阅
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Superfast Coloring in CONGEST via Efficient Color Sampling  28th
Superfast Coloring in CONGEST via Efficient Color Sampling
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28th International Colloquium on Structural Information and Communication Complexity (SIROCCO)
作者: Halldorsson, Magnus M. Nolin, Alexandre Reykjavik Univ Dept Comp Sci ICE TCS Reykjavik Iceland
We present a procedure for efficiently sampling colors in the CONGEST model. It allows nodes whose number of colors exceeds their number of neighbors by a constant fraction to sample up to Theta(log n) semi-random col... 详细信息
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Two-Tier Cache-Aided Full-Duplex Content Delivery in Satellite-Terrestrial Networks  10th
Two-Tier Cache-Aided Full-Duplex Content Delivery in Satelli...
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10th International Conference on Computational Data and Social Networks (CSoNet)
作者: Ngo, Quynh T. Phan, Khoa T. Xiang, Wei Mahmood, Abdun Slay, Jill La Trobe Univ Dept Comp Sci & Informat Technol Sch Engn & Math Sci Melbourne Vic Australia Univ South Australia Sch Comp & Informat Sci Adelaide SA Australia
Enabling global Internet access is challenging for the Internet of Things due to limited range of terrestrial network services. One viable solution is to deploy satellites into terrestrial systems for coverage extensi... 详细信息
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A Heuristic Approach to the Treedepth Decomposition Problem for Large Graphs  1
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47th International Workshop on Graph-Theoretic Concepts in computer science (WG)
作者: Swat, Sylwester Kasprzak, Marta Poznan Univ Tech Inst Comp Sci Piotrowo 2 PL-60965 Poznan Poland
In this article, we describe algorithms and techniques used in the method ExTREEm for the treedepth decomposition problem. ExTREEm won the heuristic track of the 5th Parameterized Algorithms and Computational Experime... 详细信息
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Community Detection Using Semilocal Topological Features and Label Propagation Algorithm  10th
Community Detection Using Semilocal Topological Features and...
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10th International Conference on Computational Data and Social Networks (CSoNet)
作者: Malhotra, Deepanshu Gera, Ralucca Saxena, Akrati Guru Gobind Singh Indraprastha Univ Univ Sch Informat Commun & Technol New Delhi India Naval Postgrad Sch Monterey CA 93943 USA Eindhoven Univ Technol Dept Math & Comp Sci Eindhoven Netherlands
The detection of cohesive clusters with similar characteristics in multiple types of networks is of immense informational value to researchers. In this work, we propose a Weighted Semilocal Similarity based Label Prop... 详细信息
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Synchronous Concurrent Broadcasts for Intermittent Channels with Bounded Capacities  28th
Synchronous Concurrent Broadcasts for Intermittent Channels ...
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28th International Colloquium on Structural Information and Communication Complexity (SIROCCO)
作者: Turau, Volker Hamburg Univ Technol Inst Telemat D-21073 Hamburg Germany
In this work we extend the recently proposed synchronous broadcast algorithm amnesiac flooding to the case of intermittent communication channels. In amnesiac flooding a node forwards a received message in the subsequ... 详细信息
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Fragmented Objects: Boosting Concurrency of Shared Large Objects  28th
Fragmented Objects: Boosting Concurrency of Shared Large Obj...
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28th International Colloquium on Structural Information and Communication Complexity (SIROCCO)
作者: Anta, Antonio Fernandez Georgiou, Chryssis Hadjistasi, Theophanis Nicolaou, Nicolas Stavrakis, Efstathios Trigeorgi, Andria IMDEA Networks Inst Madrid Spain Univ Cyprus Nicosia Cyprus Algolysis Ltd Limassol Cyprus
This work examines strategies to handle large shared data objects in distributed storage systems (DSS), while boosting the number of concurrent accesses, maintaining strong consistency guarantees, and ensuring good op... 详细信息
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Differentially Private Submodular Maximization over Integer Lattice  10th
Differentially Private Submodular Maximization over Integer ...
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10th International Conference on Computational Data and Social Networks (CSoNet)
作者: Hu, Jiaming Xu, Dachuan Du, Donglei Miao, Cuixia Beijing Univ Technol Dept Operat Res & Informat Engn Beijing 100124 Peoples R China Beijing Univ Technol Beijing Inst Sci & Engn Comp Beijing 100124 Peoples R China Univ New Brunswick Fac Management Fredericton NB E3B 5A3 Canada Qufu Normal Univ Sch Math Sci Qufu 273165 Shandong Peoples R China
Many machine learning problems, such as medical data summarization and social welfare maximization, can be modeled as the problems of maximizing monotone submodular functions. Differentially private submodular functio... 详细信息
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MIC Model for Cervical Cancer Risk Factors Deep Association Analysis  10th
MIC Model for Cervical Cancer Risk Factors Deep Association ...
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10th International Conference on Computational Data and Social Networks (CSoNet)
作者: Zhou, Tiehua Tang, Yingxuan Gong, Ling Xie, Hua Shan, Minglei Wang, Ling Northeast Elect Power Univ Sch Comp Sci Dept Comp Sci & Technol Jilin Jilin Peoples R China Beihua Univ Dept Nursing Jilin Jilin Peoples R China Jilin Cent Gen Hosp Jilin Jilin Peoples R China
Prevention of cervical cancer (CC) is challenging due to unobvious early symptoms and the complexity of influencing factors. There are many risk factors for CC including the direct risk factors and indirect risk facto... 详细信息
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Event-B Formalization of Event-B Contexts  8th
Event-B Formalization of Event-B Contexts
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7th International Conference on Rigorous State-Based Methods (ABZ)
作者: Bodeveix, Jean-Paul Filali, Mamoun IRIT UPS 118 Route Narbonne F-31062 Toulouse France IRIT CNRS 118 Route Narbonne F-31062 Toulouse France
This paper presents an Event-B meta-modelisation of an Event-B project restricted to its context hierarchy which introduces the functional part of a development through sets, constants, axioms and theorems. We study t... 详细信息
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Analysing ProB's Constraint Solving Backends What Do They Know? Do They Know Things? Let's Find Out!  7th
Analysing ProB's Constraint Solving Backends What Do They Kn...
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7th International Conference on Rigorous State-Based Methods (ABZ)
作者: Dunkelau, Jannik Schmidt, Joshua Leuschel, Michael Heinrich Heine Univ Dusseldorf Inst Informat Univ Str 1 D-40225 Dusseldorf Germany
We evaluate the strengths and weaknesses of different backends of the ProB constraint solver. For this, we train a random forest over a database of constraints to classify whether a backend is able to find a solution ... 详细信息
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