Search alternatives:
algorithm three » algorithm where (Expand Search), algorithm pre (Expand Search)
algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
three function » three functional (Expand Search), tree functional (Expand Search), time function (Expand Search)
using function » using functional (Expand Search), sine function (Expand Search), waning function (Expand Search)
which function » beach function (Expand Search)
algorithm three » algorithm where (Expand Search), algorithm pre (Expand Search)
algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
three function » three functional (Expand Search), tree functional (Expand Search), time function (Expand Search)
using function » using functional (Expand Search), sine function (Expand Search), waning function (Expand Search)
which function » beach function (Expand Search)
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Efficient algorithms to discover alterations with complementary functional association in cancer
Published 2019“…We provide analytic evidence of the effectiveness of UNCOVER in finding high-quality solutions and show experimentally that UNCOVER finds sets of alterations significantly associated with functional targets in a variety of scenarios. In particular, we show that our algorithms find sets which are better than the ones obtained by the state-of-the-art method, even when sets are evaluated using the statistical score employed by the latter. …”
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An Efficient Algorithm for Minimizing Multi Non-Smooth Component Functions
Published 2021“…<p>Many problems in statistics and machine learning can be formulated as an optimization problem of a finite sum of nonsmooth convex functions. We propose an algorithm to minimize this type of objective functions based on the idea of alternating linearization. …”
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Schematic diagram of ROI extraction algorithm.
Published 2024“…The results showed that the proposed method achieved an accuracy of 98.3% on the database, with an average detection time of only 28ms on the GPU, which was superior to other mainstream lightweight networks, and the model size was only 831k. …”
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