Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. حسب Ege Altan (11768156)

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The algorithm for the same-day surgery protocol. حسب Magnus Tveit (11442200)

Principal Component Analysis (PCA) of the independent dataset from the HPC cohort. حسب Erica A. K. DePasquale (11851483)

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Improved Ant Colony Algorithm حسب AOBEI ZHANG (17657703)

"…To achieve this, we integrate the hyperbolic tangent function, fine-tuning the ACO algorithm's behavior to adaptively adjust its search strategy across iterations.(2) Recognizing the tendency of heuristic algorithms to converge prematurely into local optima, we devise a max-min ant colony strategy. …"

Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. حسب Miray Unlu Yazici (14792680)

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Infrared Spectroscopy Coupled with Machine Learning Algorithms to Investigate Vascular Dysfunction in Ovariectomy: An Animal Model Study حسب Tháfanys S. Travezani (20609398)

Loss functions between PCA-DNN model and PCA-LSTM model. حسب Cihun-Siyong Alex Gong (11874066)

Explained variance ration of the PCA algorithm. حسب Abeer Aljohani (18497914)

PCA of full simulated repertoire using sequence descriptors. حسب Katharina Waury (14203284)

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Width of stripes as a function of time. حسب Pratik Mullick (12851011)

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PCA visualization of LSTM hidden layer activity of an example 7-hidden-unit network (#7). حسب Quan Wan (1329666)

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Dimensionality of noise free datasets. حسب Ege Altan (11768156)

الموضوعات:

Dimensionality of noise free datasets with unequal variance. حسب Ege Altan (11768156)

الموضوعات:

Recommended analysis pipeline for estimating the dimensionality of multi-electrode array recordings. حسب Ege Altan (11768156)

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Testing function diagram of QIMPN-PCA-DC. حسب Jun Zhao (59250)

Data_Sheet_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.PDF حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"

Table_4_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"

Table_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"

Table_2_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"

Table_5_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.docx حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"