Search Results - (( variable motivation selection algorithm ) OR ( java implication based algorithm ))
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Dynamic Bayesian Networks and Variable Length Genetic Algorithm for Dialogue Act Recognition
Published 2007“…In the selection phase, a new variable length genetic algorithm is applied to select the lexical cues. …”
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Early Admission Selection Process Into Sixth Form Science Streams Using Neural Networks Model
Published 2000“…A neural networks solution, using Multi Layer Perceptron (MLP) and Steepest Gradient Descent algorithm, was studied to offer a better model to select students more meticulously. …”
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Penalized LAD-SCAD estimator based on robust wrapped correlation screening method for high dimensional models
Published 2021“…The SIS method uses the rank correlation screening (RCS) algorithm in the pre-screening step and the traditional Pathwise coordinate descent algorithm for computing the sequence of the regularization parameters in the post screening step for onward model selection. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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The selection of the Bayesian coincident-index models using model comparison criterion with application in Langat river water quality data
Published 2012“…The river water quality data has been chosen due to the availability of small, unbalanced data sets and irregular observations at particular time in selected sampling sites. We tested all the new algorithms which are based on the three coincident-index model i.e. model with no lag, model with first order lag in the water quality variables and model with a lag for unobserved water quality index. …”
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Tourism Sustainable Competitiveness Indicator in Malaysia: Construct and Forecasting Ability
Published 2023“…The core framework of the constructed TSCI was selected based on a rigorous variable importance assessment using random forest algorithm. …”
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Enhancing understanding of programming concepts through physical games
Published 2017“…We produced in total 10 lesson games to illustrate variables, swapping, arrays, sorting algorithm particularly bubble sort, quicksort, selection sort, graph theory, dynamic programming, amortized analysis and trees. …”
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Feature Ranking Techniques For 3D ATS Drug Molecular Structure Identification
Published 2018“…The proposed feature selection approach has a simple algorithmic framework and makes use of the existing feature selection techniques to cater different variety of data issues, namely Ensemble Filter-Embedded Feature Ranking Approach (FEFR). …”
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Investigating computational thinking among primary school students in Terengganu using visual programming
Published 2022“…The interview has yielded that motivation, positive feelings, and their understanding of logical statement (Logic) are the student’s strengths while debugging, variables and operators are the most difficult skills to implement. …”
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