Search alternatives:
learner algorithm » learning algorithms (Expand Search), search algorithm (Expand Search), deer algorithm (Expand Search)
implement » implemented (Expand Search), implementing (Expand Search)
element » elements (Expand Search)
tree » three (Expand Search), free (Expand Search)
colony » colon (Expand Search)
Showing 1 - 13 results of 13 for search '(((( implement learner algorithm ) OR ( element tree algorithms ))) OR ( neural colony algorithm ))', query time: 0.11s Refine Results
  1. 1
    Intelligent Rapidly-Exploring Random Tree Star Algorithm

    Intelligent Rapidly-Exploring Random Tree Star Algorithm by Ahmed, Khidir Galal Eldin Khidir

    Published 2024
    Get full text
    doctoralThesis
    Save to List
    Saved in:
  2. 2
    Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach

    Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach by S. Punitha (17945654)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  3. 3
    Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect

    Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect by Habeeb, Abdallah

    Published 2022
    “…The second phase, modified the Artificial Bee Colony (ABC) Algorithm, with Upper Confidence Bound (UCB) Algorithm, to promote the exploitation ability for the minimum dimension, to get the minimum number of the optimal feature, then using forward feature selection strategy by four classifiers of machine learning algorithms: (K-Nearest Neighbors (KNN), Support vector machines (SVM), Naïve-Bayes (NB), and Polynomial Neural Networks (PNN). …”
    Get full text
    Save to List
    Saved in:
  4. 4
    Approximate XML structure validation based on document–grammar tree similarity

    Approximate XML structure validation based on document–grammar tree similarity by Tekli, Joe

    Published 2015
    “…Our approach exploits the concept of tree edit distance, introducing a novel edit distance recurrence and dedicated algorithms to effectively compare XML documents and grammar structures, modeled as ordered labeled trees. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  5. 5
    Using artificial bee colony to optimize software quality estimation models. (c2015)

    Using artificial bee colony to optimize software quality estimation models. (c2015) by Abou Assi, Tatiana Antoine

    Published 2016
    “…In this thesis, we propose a novel heuristic based on Artificial Bee Colony (ABC) to optimize rule-based software quality prediction models. …”
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  6. 6
    Recent advances on artificial intelligence and learning techniques in cognitive radio networks

    Recent advances on artificial intelligence and learning techniques in cognitive radio networks by Abbas, Nadine

    Published 2015
    “…The literature survey is organized based on different artificial intelligence techniques such as fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, support vector machine, case-based reasoning, entropy, Bayesian, Markov model, multi-agent systems, and artificial bee colony algorithm. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  7. 7
    Structural similarity evaluation between XML documents and DTDs

    Structural similarity evaluation between XML documents and DTDs by Tekli, J.

    Published 2007
    “…We consider the various DTD operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes. Our approach is based on the concept of tree edit distance, as an effective and efficient means for comparing tree structures, XML documents and DTDs being modeled as ordered labeled trees. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
    Save to List
    Saved in:
  8. 8
    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

    Published 2023
    “…Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  9. 9
    Approximate XML structure validation technical report

    Approximate XML structure validation technical report by Tekli, Joe

    Published 2014
    “…Our approach exploits the concept of tree edit distance, introducing a novel edit distance recurrence and dedicated algorithms to effectively compare XML documents and grammar structures, modeled as ordered labeled trees. …”
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  10. 10
    A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai

    A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai by ALGHANEM, HANI SUBHI MOHD

    Published 2024
    “…My research aims to develop a data-driven decision support framework for fleet management, focusing on leveraging advanced algorithms, including decision trees and random forests, to generate domain-specific AI models. …”
    Get full text
    Save to List
    Saved in:
  11. 11
    Autonomous Demand-Side Management in the Future Smart Grid

    Autonomous Demand-Side Management in the Future Smart Grid by Assaf, Tasneem Mohammad

    Published 2016
    Get full text
    doctoralThesis
    Save to List
    Saved in:
  12. 12
    Toward automatic motivator selection for autism behavior intervention therapy

    Toward automatic motivator selection for autism behavior intervention therapy by Siyam, Nur

    Published 2022
    “…The states, actions and rewards design consider the factors that impact the efectiveness of a motivator based on applied behavior analysis as well as learners’ individual preferences. We use a Q-learning algorithm to solve the modeled problem. …”
    Get full text
    Get full text
    Save to List
    Saved in:
  13. 13
    After generative AI : preparing faculty to transform education, learning, and pedagogy

    After generative AI : preparing faculty to transform education, learning, and pedagogy by Hardey, Mariann

    Published 2025
    “…Going beyond basic explanations, Hardey and Aad provide practical insights and implementation strategies that recognize the concerns and ethical challenges related to GAI, such as bias in algorithms, privacy issues, and the need for inclusivity. …”
    Get full text
    Get full text
    Get full text
    Get full text
    bookPart
    Save to List
    Saved in:

Search Tools: