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检索条件"主题词=Distributed submodular maximization"
5 条 记 录,以下是1-10 订阅
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distributed submodular maximization FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION
DISTRIBUTED SUBMODULAR MAXIMIZATION FOR LARGE VOCABULARY CON...
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Qi, Jun Liu, Xu Kamijo, Shunshuke Tejedor, Javier Univ Washington Elect Engn Seattle WA 98195 USA Univ Tokyo Inst Ind Sci Tokyo Japan CEU Univ Univ San Pablo CEU Escuela Politecn Super Madrid Spain
Huge training datasets for automatic speech recognition (ASR) typically contain redundant information so that a subset of data is generally enough to obtain similar ASR performance to that obtained when the entire dat... 详细信息
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distributed submodular maximization for Large Vocabulary Continuous Speech Recognition
Distributed Submodular Maximization for Large Vocabulary Con...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Jun Qi Xu Liu Shunshuke Kamijo Javier Tejedor Electrical Engineering University of Washington Seattle USA Institute of Industrial Science The University of Tokyo Japan Escuela Politecnica Superior Universidad San Pablo-CEU CEU Universities Madrid Spain
Huge training datasets for automatic speech recognition (ASR) typically contain redundant information so that a subset of data is generally enough to obtain similar ASR performance to that obtained when the entire dat... 详细信息
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A New Framework for distributed submodular maximization  57
A New Framework for Distributed Submodular Maximization
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57th IEEE Annual Symposium on Foundations of Computer Science (FOCS)
作者: Barbosa, Rafael da Ponte Ene, Alina Nguyen, Huy L. Ward, Justin Univ Warwick Dept Comp Sci Coventry W Midlands England Boston Univ Dept Comp Sci 111 Cummington St Boston MA 02215 USA Northeastern Univ Coll Comp & Informat Sci Boston MA 02115 USA Ecole Polytech Fed Lausanne Sch Comp & Commun Sci Lausanne Switzerland
A wide variety of problems in machine learning, including exemplar clustering, document summarization, and sensor placement, can be cast as constrained submodular maximization problems. A lot of recent effort has been... 详细信息
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GreediRIS: Scalable influence maximization using distributed streaming maximum cover
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JOURNAL OF PARALLEL AND distributed COMPUTING 2025年 198卷
作者: Barik, Reet Cappa, Wade Ferdous, S. M. Minutoli, Marco Halappanavar, Mahantesh Kalyanaraman, Ananth Washington State Univ Pullman WA 99164 USA Pacific Northwest Natl Lab Richland WA 99354 USA
Influence maximization-the problem of identifying a subset of k influential seeds (vertices) in a network- is a classical problem in network science with numerous applications. The problem is NP-hard, but there exist ... 详细信息
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Tractable Mechanisms for Computing Near-Optimal Utility Functions  21
Tractable Mechanisms for Computing Near-Optimal Utility Func...
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International Conference on Autonomous Agents and Multiagent Systems
作者: Rahul Chandan Dario Paccagnan Jason R. Marden UC Santa Barbara Imperial College London
Large scale multiagent systems must rely on distributed decision making, as centralized coordination is either impractical or impossible. Recent works approach this problem under a game theoretic lens, whereby utility... 详细信息
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