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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm iqa » algorithm i (Expand Search), algorithm pca (Expand Search), algorithm _ (Expand Search)
a functional » _ functional (Expand Search), a function (Expand Search), state functional (Expand Search)
iqa function » a function (Expand Search), i function (Expand Search), its function (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm iqa » algorithm i (Expand Search), algorithm pca (Expand Search), algorithm _ (Expand Search)
a functional » _ functional (Expand Search), a function (Expand Search), state functional (Expand Search)
iqa function » a function (Expand Search), i function (Expand Search), its function (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
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Codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB"
Published 2023“…<p>The JAVA codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" are provided. …”
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Performance as a function of the number of algorithm executions for the full-sized matrix design.
Published 2020“…<p>Performance as a function of the number of algorithm executions for the full-sized matrix design.…”
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Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection
Published 2025“…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. …”
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Search Algorithms and Loss Functions for Bayesian Clustering
Published 2022“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”
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Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty
Published 2024“…This penalty was proposed by Verzelen et al. and achieves optimal rates for changepoint detection and changepoint localization in a non-asymptotic scenario. Our proposed algorithm, Multiscale Functional Pruning Optimal Partitioning (Ms.FPOP), extends functional pruning ideas presented in Rigaill and Maidstone et al. to multiscale penalties. …”
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Comparison of deconvolution and optimization algorithms on a batch of data.
Published 2021“…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”
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A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases
Published 2025“…<i>Quantum Anamorphosis</i> addresses this challenge through physically motivated localization of molecular orbitals and site reordering, which yield unique block-diagonal Hamiltonian matrices and compact spin-adapted many-body wave functions. In this work, we introduce a genetic algorithm to identify optimal orbital/site orderings that enhance wave function compactness, thereby enabling the study of larger systems than previously possible. …”
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