Search alternatives:
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
web optimization » b optimization (Expand Search), yet optimization (Expand Search), led optimization (Expand Search)
library based » laboratory based (Expand Search)
binary based » linac based (Expand Search), binary mask (Expand Search)
based linear » based library (Expand Search), best linear (Expand Search), wise linear (Expand Search)
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
web optimization » b optimization (Expand Search), yet optimization (Expand Search), led optimization (Expand Search)
library based » laboratory based (Expand Search)
binary based » linac based (Expand Search), binary mask (Expand Search)
based linear » based library (Expand Search), best linear (Expand Search), wise linear (Expand Search)
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A Practical Algorithm to Solve the Near-Congruence Problem for Rigid Molecules and Clusters
Published 2023“…The algorithm is formulated as a quasi-local optimization procedure with each optimization step involving a linear assignment (LAP) and a singular value decomposition (SVD). …”
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Using Variable Data-Independent Acquisition for Capillary Electrophoresis-Based Untargeted Metabolomics
Published 2024“…Capillary electrophoresis coupled with tandem mass spectrometry (CE-MS/MS) offers advantages in peak capacity and sensitivity for metabolic profiling owing to the electroosmotic flow-based separation. However, the utilization of data-independent MS/MS acquisition (DIA) is restricted due to the absence of an optimal procedure for analytical chemistry and its related informatics framework. …”
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Using Variable Data-Independent Acquisition for Capillary Electrophoresis-Based Untargeted Metabolomics
Published 2024“…Capillary electrophoresis coupled with tandem mass spectrometry (CE-MS/MS) offers advantages in peak capacity and sensitivity for metabolic profiling owing to the electroosmotic flow-based separation. However, the utilization of data-independent MS/MS acquisition (DIA) is restricted due to the absence of an optimal procedure for analytical chemistry and its related informatics framework. …”
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Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment
Published 2019“…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …”
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LinearSolve.jl: because A\b is not good enough
Published 2022“…What a great time for the SciML ecosystem to swoop in! This leads us to LinearSolve.jl, a common interface for linear solver libraries. …”
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Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat.
Published 2025“…Optimization with GridSearchCV corroborated this stagnation, identifying a simple linear model (C=0.05, gamma='scale') as the optimal configuration, indicating that the additional complexity of nonlinear kernels did not confer predictive gains. …”
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Supporting data for "clinical-oriented surgical planning based on finite element method and automate-generated surgical templates assisting the spinal surgery"
Published 2024“…The offset algorithm was developed with normal vector of vertices and iterative bisection, outputting a solid layer of elements based on input triangle mesh and was validated against non-linear surface in vertebra body. …”
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hIPPYlib: An Extensible Software Framework for Large-scale Inverse Problems
Published 2019“…This Gaussian approximation is exact when the parameter-to-observable map is linear; otherwise it can serve as a proposal for Hessian-based MCMC methods. …”
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Collaborative Research: SI2-SSI: ELSI-Infrastructure for Scalable Electronic Structure Theory
Published 2020“…The ELectronic Structure Infrastructure (ELSI) project provides an open-source software interface to facilitate the implementation and optimal use of high-performance solver libraries covering cubic scaling eigensolvers, linear scaling density-matrix-based algorithms, and other reduced scaling methods in between. …”
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Collaborative Research: SI2-SSI: ELSI - Infrastructure for Scalable Electronic Structure Theory
Published 2020“…The ELectronic Structure Infrastructure (ELSI) project provides an open-source software interface to facilitate the implementation and optimal use of high-performance solver libraries covering cubic scaling eigensolvers, linear scaling density-matrix-based algorithms, and other reduced scaling methods in between. …”