Measuring the component of a divide and conquer skeleton
Journal of Computer Science and Technology, 2009 Current performance prediction analytical models try to characterize the performance behavior of actual machines through a small set of parameters. Due to different factors, the predicted times suffer substantial deviations.
Alicia Marcela Printista, Fernando Saez
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A divide and conquer approach to maximise deep learning mammography classification accuracies. [PDF]
PLoS One, 2023 Jaamour A +5 more
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Comparison of phacoemulsification ultrasonic power between the phaco‑chop and the divide-and-conquer techniques: a mini-systematic review. [PDF]
Eye (Lond), 2023 Younus O, Lockington D.
europepmc +1 more source
Divide and conquer: towards isoform-specific diagnosis and therapy of KRAS-mutant lung cancer. [PDF]
Transl Lung Cancer Res, 2023 Allemann AT, Gautschi O.
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Divide and conquer for causal computation
International Journal of Approximate ReasoningThis paper proposes a novel divide-and-conquer method for computing bounds in counterfactual queries within partially specified structural causal models (SCMs). These models often include exogenous variables with unknown distributions, making many counterfactuals non-identifiable.
Anna Rodum Bjøru +3 more
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Efficient Divide-and-Conquer Parsing of Practical Context-Free Languages
, 2013 We present a divide-and-conquer algorithm for parsing context-free languages efficiently. Our algorithm is an instance of Valiant\u27s (1975), who reduced the problem of parsing to matrix multiplications.
Koen Claessen +5 more
core +1 more source
Synthetic Tabular Data Based on Generative Adversarial Networks in Health Care: Generation and Validation Using the Divide-and-Conquer Strategy. [PDF]
JMIR Med Inform, 2023 Kang HYJ +5 more
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Correlation clustering: divide and conquer
Annals of computer science and information systems, 2016 László Aszalós, Mária Bakó
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Optimal Minimax Rate of Smoothing Parameter in Distributed Nonparametric Specification Test
AxiomsA model specification test is a statistical procedure used to assess whether a given statistical model accurately represents the underlying data-generating process. The smoothing-based nonparametric specification test is widely used due to its efficiency
Peili Liu +3 more
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