Search Results - (( based constructive method algorithm ) OR ( set generation method algorithm ))

Ant system-based feature set partitioning algorithm for classifier ensemble construction by Abdullah, , Ku-Mahamud, Ku Ruhana

“…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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An evolutionary based features construction methods for data summarization approach by Rayner Alfred, Suraya Alias, Chin, Kim On

“…Here, feature construction methods are applied in order to improve the descriptive accuracy of the DARA algorithm.This research proposes novel feature construction methods, called Variable Length Feature Construction without Substitution (VLFCWOS) and Variable Length Feature Construction with Substitution(VLFCWS), in order to construct a set of relevant features in learning relational data. …”
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New Algorithm for Determinant of Matrices Via Combinatorial Approach by Zake, Lugen M.

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A new starter sets generation method by fixing any element under exchange restriction by Karim, Sharmila, Ibrahim, Haslinda, Omar, Zurni, Sapiri, Hasimah

“…A new method is developed for starter sets generation namely STARSET2 based on exchange where any element can be selected randomly to be fixed.The result showed that no redundancy of starter sets is occurring and no equivalence starter sets are obtained.…”
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A new method for starter sets generation by fixing any element by Karim, Sharmila, Ibrahim, Haslinda, Sapiri, Hasimah

“…a new permutation technique based on distinct starter sets was introduced by employing circular and reversing operations.The crucial task is to generate the distinct starter sets by eliminating the equivalence starter sets.Meanwhile new strategies for starter sets generation without generating its equivalence starter sets were developed and more efficient in terms of computation time compared to old method.However all these algorithms have limitations in terms of fixing element to construct the first set (starter set) to begin with.It would be interesting to derive new strategy by fixing an element in any position. …”
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A frequent pattern mining algorithm based on FP-growth without generating tree by Tohidi, Hossein, Ibrahim, Hamidah

“…Our algorithm works based on prime factorization, and is called Frequent Pattern-Prime Factorization (FPPF).…”
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A frequent pattern mining algorithm based on FP-growth without generating tree by Tohid, Hossein, Ibrahim, Hamidah

“…It then divides the compressed database into a set of conditional databases (a special kind of projected database), each associated with one frequent item or pattern fragment, and mines each such database separately.For a large database, constructing a large tree in the memory is a time consuming task and increase the time of execution.In this paper we introduce an algorithm to generate frequent patterns without generating a tree and therefore improve the time complexity and memory complexity as well.Our algorithm works based on prime factorization, and is called Frequent Pattern- Prime Factorization (FPPF).…”
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A generalized laser simulator algorithm for optimal path planning in constraints environment by Aisha, Muhammad

“…A statistical test was used to demonstrate the efficiency of the proposed algorithm over the compared methods. The GLS is 7.8 and 5.5 times faster than A* and LS, respectively, generating a path 1.2 and 1.5 times shorter than A* and LS. …”
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Ideal combination feature selection model for classification problem based on bio-inspired approach by Basir, Mohammad Aizat, Hussin, Mohamed Saifullah, Yusof, Yuhanis

“…The aim of this paper is to exploit the capability of bio-inspired search algorithms, together with wrapper and filtered methods in generating optimal set of features. …”
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Non-fiducial based electrocardiogram biometrics with kernel methods by Hejazi, Maryamsadat

“…The effectiveness of this algorithm is investigated by comparing with other AC based feature extraction algorithms involving AC/LDA (Linear Discriminant Analysis) and AC/PCA (Principal Component Analysis). …”
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Using unique-prime-factorization theorem to mine frequent patterns without generating tree by Tohidi, Hossein, Ibrahim, Hamidah

“…Our algorithm works based on prime factorization and is called Prime Factor Miner (PFM). …”
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Efficient dynamic DNA-based block cipher algorithm by Chng, Chern Wei

“…The proposed method involves utilising DNA-based components consisting of the nucleotides {A, T, G, C} to generate a novel Dynamic DNA-based S-Box. …”
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Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems by Bashar AbedAl Mohdi Talal AlDeeb

“…(iii) It is a constructive-based meta-heuristic algorithm which means, the solution is incrementally constructed (step by step) until the complete solution is obtained (Noferesti and Shah-Hosseini, 2012). …”

Transmission lines modeling based on vector fitting algorithm and RLC active/passive filter design by Turki, Ahmed Qasim, Mailah, Nashiren Farzilah, Othman, Mohammad Lutfi, Sabry, Ahmad H.

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A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata by Darvishy, Asghar

“…In recent years, there has been much focus on the design and development of personalized news recommendation systems that observe and learn user behavior and generate news set based on this behavior. Commonly, the current news recommendation systems employ the collaborative filtering-based (CF-based), Content-based filtering (Content-based) or hybrid methods. …”
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Machine learning in botda fibre sensor for distributed temperature measurement by Nur Dalilla binti Nordin

“…An alternative method is proposed, utilizing machine learning algorithms. …”

Solving an application of university course timetabling problem by using genetic algorithm by Norhana, Shaibatul Khadri

“…Many efforts have been made using various computational heuristic methods to acquire the best solutions. Among the approaches, genetic algorithm (GA), constructed based on Darwin's theory of evolution, becomes the renowned approach to solve various types of timetabling problems. …”
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New Sequential and Parallel Division Free Methods for Determinant of Matrices by Sharmila, Karim

“…The computation times in the newly developed sequential methods were dominated by generating starter sets. …”
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Generating mutually unbiased bases and discrete Wigner functions for three-qubit system by Aliakbarzadeh, Mojtaba, Zainuddin, Hishamuddin

“…It is known that there exists 2N+ 1 mutually unbiased bases for N qubits system. Between the different MUB construction algorithms of the three-qubit case, we focus on Wootters method with discrete phase space that leads naturally to a complete set of 2N+ 1 mutually unbiased bases for the state space. …”
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Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems by Woon, Siew Fang

“…Most practical discrete-valued optimal control problems have multiple local minima and thus require global optimization methods to generate practically useful solutions. …”
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