يعرض 41 - 60 نتائج من 558 نتيجة بحث عن '(((( elements learning algorithm ) OR ( present data algorithm ))) OR ( data models algorithm ))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 41

    Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

    منشور في 2024
    "…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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    article
  2. 42

    A method for data path synthesis using neural networks حسب Harmanani, H.

    منشور في 2017
    "…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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  3. 43

    Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System حسب Abu Zitar, Raed

    منشور في 2021
    "…A modern algorithm was improvised for this reason. For our proposed recommendation system, a database program was created to store data and include details in the analysis of course learning outcomes. …"
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  4. 44

    Data mining approach to predict student's selection of program majors حسب SIDDARTHA, SHARMILA

    منشور في 2019
    "…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …"
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    Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE حسب SHWEDEH, FATEN

    منشور في 2018
    "…We examined different feature selection methods and classification algorithms to find the best prediction model with the highest accuracy. …"
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  7. 47

    Using genetic algorithms to optimize software quality estimation models حسب Azar, Danielle

    منشور في 2004
    "…In the first approach, we assume the existence of several models, and we use a genetic algorithm to combine them, and adapt them to a given data set. …"
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    masterThesis
  8. 48

    An enhanced k-means clustering algorithm for pattern discovery in healthcare data حسب Haraty, Ramzi A.

    منشور في 2015
    "…This paper studies data mining applications in healthcare. Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …"
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    article
  9. 49

    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain حسب Al Sadawi, Alia

    منشور في 2021
    "…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …"
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    Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

    منشور في 2022
    "…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"
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    Correlation Clustering with Overlaps حسب Fakhereldine, Amin

    منشور في 2020
    "…We present a heuristic algorithm and a semi-exact algorithm for the Multi-Parameterized Cluster Editing with Vertex Splitting problem. …"
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    masterThesis
  14. 54

    A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption حسب Azadeh, Ali

    منشور في 2019
    "…Findings Production, import, export, road construction and price are considered as the input data used in the present study. It was concluded that, among all the forecasting methods used in this study, GA was the best method for estimating. …"
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  15. 55

    Practical single node failure recovery using fractional repetition codes in data centers حسب Itani, May

    منشور في 2016
    "…Hence, a practical solution for node failures is presented by using a self-designed genetic algorithm that searches within the feasible solution space. …"
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  16. 56
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    SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data حسب Tekli, Joe

    منشور في 2018
    "…This paper describes SemIndex+, a semantic-aware indexing and querying framework that allows semantic search, result selection, and result ranking of structured (relational DB-style), unstructured (IR-style), and partly structured (NoSQL) data. Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …"
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    article
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