Search alternatives:
based function » based functional (Expand Search), basis function (Expand Search), basis functions (Expand Search)
algorithm wave » algorithm where (Expand Search), algorithm a (Expand Search), algorithm ai (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
wave function » rate function (Expand Search), a function (Expand Search), gene function (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
based function » based functional (Expand Search), basis function (Expand Search), basis functions (Expand Search)
algorithm wave » algorithm where (Expand Search), algorithm a (Expand Search), algorithm ai (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
wave function » rate function (Expand Search), a function (Expand Search), gene function (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
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Dynamical comparison between Drosha and Dicer reveals functional motion similarities and dissimilarities
Published 2019“…Dynamical comparison is performed using global and local dynamic programming algorithms for aligning modes of motion. These algorithms were recently developed based on the commonly used Needleman-Wunsch and Smith-Waterman algorithms for global and local sequence alignment. …”
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Machine learning algorithm parameters.
Published 2023“…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”
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Supplementary file 1_Hamiltonian formulations of centroid-based clustering.pdf
Published 2025“…<p>Clustering is a fundamental task in data science that aims to group data based on their similarities. However, defining similarity is often ambiguous, making it challenging to determine the most appropriate objective function for a given dataset. …”
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Predictive Mixing for Density Functional Theory (and Other Fixed-Point Problems)
Published 2021“…Density functional theory calculations use a significant fraction of current supercomputing time. …”
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Multinode Multi-GPU Two-Electron Integrals: Code Generation Using the Regent Language
Published 2022Subjects: -
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