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Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024الموضوعات: احصل على النص الكامل
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
منشور في 2020"…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. …"
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Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems
منشور في 2022"…This is addressed such that the genetic algorithm (GA) technique is used for selecting the best features and the artificial neural network (ANN) classifier is applied for fault diagnosis. …"
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024الموضوعات: -
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Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem
منشور في 2016"…This research note describes Response-Based Unit Segmentation (REBUS), a “latent class detection” technique used in partial least squares–structural equation modeling (PLS-SEM) to examine data heterogeneity. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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An enhanced quorum selection algorithm
منشور في 2009احصل على النص الكامل
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احصل على النص الكامل
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An Improved Quorum Selection Algorithm
منشور في 2008احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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VEGAWES: variational segmentation on whole exome sequencing for copy number detection
منشور في 2015"…VEGAWES is an extension to a variational based segmentation algorithm, VEGA: Variational estimator for genomic aberrations, which has previously outperformed several algorithms on segmenting array comparative genomic hybridization data. …"
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Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
منشور في 2022"…The main novelty of this work is the computer-aided diagnosis scheme for detecting abnormalities in breast ultrasound images by integrating a wavelet neural network (WNN) and the grey wolf optimization (GWO) algorithm. …"
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Unsupervised outlier detection in multidimensional data
منشور في 2022"…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. …"
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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …"
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An improved quorum selection algorithm (IQSA). (c2007)
منشور في 2007احصل على النص الكامل
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masterThesis -
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Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units
منشور في 2019الموضوعات: احصل على النص الكامل
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Data mining approach to predict student's selection of program majors
منشور في 2019"…There is an opportunity to apply data mining to arrive at a model to predict student selection of a major. …"
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A genetic algorithm for testable data path synthesis
منشور في 2017احصل على النص الكامل
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احصل على النص الكامل
احصل على النص الكامل
conferenceObject