Search Results - (( program evaluation method algorithm ) OR ( _ implication tree algorithm ))
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Evaluation of dynamic programming among the existing stereo matching algorithms
Published 2015“…One of them is the dynamic programming method. On this research is to perform an evaluation on the performance between the dynamic programming with other existing method as comparison. …”
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Laptop price prediction using decision tree algorithm / Nurnazifah Abd Mokti
Published 2024“…The project involves data collection, data preparation, and the implementation of the decision tree algorithm for price prediction. The decision tree's effectiveness and accuracy in predicting laptop prices are evaluated through rigorous testing and validation. …”
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Diagnosis and recommender system for diabetes patient using decision tree / Nurul Aida Mohd Zamary
Published 2024“…The phase of this project is divided into data preprocessing, implementation of the decision tree algorithm, and evaluation of the algorithm and prototype. …”
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Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus
Published 2003“…This project proposed on an investigation on the voltage stability margin identification using evolution programming learning algorithm. A multilayer feed-forward artificial neural network (ANN) with evolution programming learning algorithm for calculation of voltage stability margins (VSM). …”
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Sudoku Generator based on hybrid algorithm / Faridah Abdul Rahman
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Comparison Between Linear Programming And Integer Linear Programming: A Review
Published 2018“…For ILP, available algorithms can be classified into exact algorithms and heuristic algorithms. …”
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Case Slicing Technique for Feature Selection
Published 2004“…The classification accuracy obtained from the CST method is compared to other selected classification methods such as Value Difference Metric (VDM), Pre-Category Feature Importance (PCF), Cross-Category Feature Importance (CCF), Instance-Based Algorithm (IB4), Decision Tree Algorithms such as Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5), Rough Set methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) and Neural Network methods such as the Multilayer method.…”
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Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu
Published 2014“…Multilayer Perceptron algorithm has been the best algorithm with the highest success percentage in both of the programs; Decision Trees has been the algorithm which has the lowest success percentage again in both of the programs. …”
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String matching algorithms: to search and compare longest common subsequence strings retrieved from Wagner & Fischer and Hirschberg algorithms on Malay dictionary words / Mohd Razi...
Published 1999“…This thesis studies the method of a string searching algorithm. There are two methods being evaluated in this research. …”
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Linear array beampattern gain optimization techniques
Published 2023“…LMS and goal programming methods are used to evaluate the weights of the remaining array elements. …”
Conference paper -
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Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
Published 2016“…Based on the results of evaluations, the results obtained by DSF is better than the algorithms, basic block matching and dynamic programming.…”
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Comparison and evaluation of multiple sequence alignment tools in bininformatics
Published 2009“…Comparison and alignment of a series of protein and DNA sequences were among the first and are now established as the most powerful and frequently used bioinformatics methods. A variety of computational algorithms and programs have been created for this purpose. …”
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Online Programming Judge System (UOJ)
Published 2013“…The system has the function to judge programming code by evaluating the output that the program produced. …”
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Metaheuristic Algorithms Based on Compromise Programming for the Multi-Objective Urban Shipment Problem
Published 2022“…We evaluated the effectiveness of the proposed algorithm with the Tabu Search algorithm and the original genetic algorithm on the tested dataset. …”
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