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Konu: Computer engineering.
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by
Cai, Ermao, author.
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algorithms or optimization techniques. To have accurate models, one needs to consider not only technology
by
Martinez, Gus, author.
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navigational systems employ star identification algorithms to determine the orientation of a given space
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Ghasemzadeh, Mohammad, author.
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learning algorithms, deep neural networks and causal Bayesian analysis. The high computational complexity
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Al-Dabooni, Seaar Jawad Kadhim, author.
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-difference (TD(0)) and n-step TD (TD(lambda)) with their gradients are utilized as learning algorithms to train
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Xing, Fuyong, author.
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efficient sparse encoding algorithms. The fast deformable model is obtained by incorporating a scalable
by
Yao, Zhihao, author.
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systems. We first proposed two performance SLA oriented scheduling algorithms that enabling performance
by
Sun, Ying, author.
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-convex structures are also discussed. The algorithms are proved to converge to a stationary point of the problems
by
Davis, Dylan A.P., author.
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proposed solutions are evaluated against several baseline algorithms from the literature, showing the value
by
Li, Ji, author.
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computing resource allocation problem, which cannot be resolved efficiently by previous algorithms. Then, a
by
Shukla, Sharabh Ramshiromani, author. (orcid)0000-0002-2841-2897
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globally optimal solution to be discovered with polynomial time algorithms. In this work, Low's conic power
by
Muñoz, Julio Alberto Reyes, author.
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. Other work relates to algorithms to decide whether to offload or not based on network or runtime
by
Siuliukina, Nataliia, author.
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reality, they are computationally unfeasible when deployed on a macroscale. Hybrid algorithms combine the
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