Search Results - (( based constructive method algorithm ) OR ( using modification _ algorithm ))
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Examining performance of aggregation algorithms for neural network-based electricity demand forecasting
Published 2015“…The output of the aggregation algorithms is analyzed and compared with the individual NN models used in NN ensemble and with a Naive approach. …”
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Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python
Published 2022“…Bitwise operations make this algorithm run very fast. The algorithm constructed by the researcher is a modification of Komosko, etc.’s algorithm in 2015 and it is the key result of this research. …”
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Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm
Published 2025“…These methods have been rigorously tested and compared against proprietary heuristic-based software and manual methods. …”
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Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems
Published 2024“…This motivates the researchers to investigate other methods. This thesis presents an investigation of using the Intelligent Water Drops (IWD) algorithm to construct and produce good quality solutions for the UETP. …”
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Optimizing decentralized exam timetabling with a discrete whale optimization algorithm
Published 2025“…This problem remains an active area of research and, to the authors' knowledge, has not been adequately addressed by the WOA algorithm. The method was evaluated using real-world data from the first semester of 2023/2024 for faculties at the Universiti of Sarawak, Malaysia. …”
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Pattern generation through feature values modification and decision tree ensemble construction
Published 2013“…It is found that the performance of bagging and RSM algorithms can be improved by incorporating feature values modification with their training processes. …”
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Amtree Protocol Enhancement by Multicast Tree Modification and Incorporation of Multiple Sources
Published 2008“…The results from experiments show that handoff latency using the new algorithms is much lower than using AMTree handoff procedure in both cases, i.e. when the source connects to a subscribed base station or not subscribed base station. …”
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Classification of stock market index based on predictive fuzzy decision tree
Published 2005“…After constructing predictive FDT, Weighted Fuzzy Production Rules (WFPRs) are extracted from predictive FDT, and then more significant WFPR’s are mined by using similarity-based fuzzy reasoning method. …”
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Implementation of Symmetric Rank-One Methods for Unconstrained Optimization
Published 2010“…In this method, the Hessian approximation is updated based on modifed secant equation, which uses both gradient and function value information in order to get a higher-order accuracy in approximating the second curvature of the objec- tive function. …”
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…We extend this idea with the expressive power of fuzzy reasoning method. After constructing predictive FDT, weighted fuzzy production rules (WFPRs) can be extracted from predictive FDT. …”
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Enhancement of compound word extraction in Malay sentences using modified linguistics approaches / Zamri Abu Bakar
Published 2023“…Overall, this study has three objectives; to identify new rules in detecting the Malay compound word, to construct an improved compound word extraction technique (algorithm) that combines many rules for Malay sentences using linguistic approaches, and lastly to evaluate the accuracy of proposed technique from using the standard evaluation of Recall, Precious and F-Measure. …”
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An evolutionary based features construction methods for data summarization approach
Published 2015“…In this work, we empirically compare the predictive accuracies of classification tasks based on the proposed feature construction methods and also the existing feature construction methods. …”
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Research Report -
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Ant system-based feature set partitioning algorithm for classifier ensemble construction
Published 2016“…In this study, Ant system-based feature set partitioning algorithm for classifier ensemble construction is proposed.The Ant System Algorithm is used to form an optimal feature set partition of the original training set which represents the number of classifiers.Experiments were carried out to construct several homogeneous classifier ensembles using nearest mean classifier, naive Bayes classifier, k-nearest neighbor and linear discriminant analysis as base classifier and majority voting technique as combiner. …”
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Knowledge base processing method based on text classification algorithm
Published 2023“…The text classification algorithm's knowledge base processing method utilizes existing data from the knowledge base to guide the construction and training of the classification model. …”
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Multi-base number representation in application to scalar multiplication and pairing computation
Published 2011“…Multi-bases number representation is used to construct new versions of Miller’s algorithm. …”
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Modification of dijkstra's algorithm for safest and shortest path during emergency evacuation
Published 2015“…Therefore, this paper presents the methodology used for the modification of Dijkstra's algorithm to find the safest and shortest path. …”
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Bio-inspired computation: Recent development on the modifications of the cuckoo search algorithm
Published 2017“…Several researchers have attempted to apply several modifications to the original cuckoo search algorithm in order to advance its effectiveness. …”
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Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences
Published 2024journal::journal article
