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36 articles for “variable selection”
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Research ArticleOpen accessPhrase in the titleModern Metaheuristic with Multi-Objective Formulation for the Variable Selection ProblemLauro Cassio Martins de Paula, Anderson da Silva Soares, Telma Woerle Soares et al.The development of efficient algorithms for variable selection becomes important to deal with large and complex datasets. Most works in quantitative chemical analysis have used Genetic Algorithms (GAs) as a reference method to select variables. On the other hand, new advances in metaheuristic techniques provide novel possibilities in this task Moreover, the application of Multi-Objective Optimization (MOO) may significantly contribute … …Journal of Computer Science, Vol. 13, Issue 11 · 20 Nov 2017 · 7,661 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleVariable Selection with PageRank for SAT SolversTomohiro SonobeHow to choose decision variables often determines the performance of SAT solvers. In state-of-the-art SAT solvers, Variable State Independent Decaying Sum (VSIDS) has been used as a standard technique in the decision process. In this study, we analyze the VSIDS from the point of view of PageRank and propose a technique for improving the VSIDS. While the VSIDS focuses on … …Journal of Computer Science, Vol. 15, Issue 8 · 6 Aug 2019 · 7,371 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleOptimization Techniques for Variable Selection in Binary Logistic Regression Model Applied to Desire for Children DataS. K. Sarkar, Habshah MidiProblem statement: The population problem is the biggest problem in the world. In the global and regional context, Bangladesh population has drawn considerable attention of the social scientists, policy makers and international organizations. Bangladesh is now world’s 10th populous country having about 140 million people. The recent experience of Bangladesh shows that fertility can sustain impressive declines even when women’s … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,095 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGenetic Algorithm for Variable and Samples Selection in Multivariate Calibration ProblemsKelton de Souza Santiago, Anderson Silva Soares, Telma Woerle de Lima et al.One of the main problems of quantitative analytical chemistry is to estimate the concentration of one or more species from the values of certain physicochemical properties of the system of interest. For this it is necessary to construct a calibration model, i.e., to determine the relationship between measured properties and concentrations. The multivariate calibration is one of the most successful … …Journal of Computer Science, Vol. 11, Issue 4 · 8 Jun 2015 · 7,381 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImplementation of Phonetic Context Variable Length Unit Selection Module for Malay Text to SpeechTian-Swee Tan, Sh-HussainProblem statement: The main problem with current Malay Text-To-Speech (MTTS) synthesis system is the poor quality of the generated speech sound due to the inability of traditional TTS system to provide multiple choices of unit for generating more accurate synthesized speech. Approach: This study proposes a phonetic context variable length unit selection MTTS system that is capable of providing more … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 6,775 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Efficiency of Seven-Variable Box-Behnken Experimental Design with Varying Center Runs on Full and Reduced Model TypesMary Paschal Iwundu, Joan CosmosResponse Surface Methodology is widely used in the optimization of industrial processes and products that depend on several experimental variables. One of the most tested and efficient second-order Response Surface Methodology designs is the Box-Behnken Design. This research explores the efficiency of a seven-variable Box-Behnken design with varying center runs, on full and reduced quadratic models. Backward Elimination and Forward … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 8 Dec 2022 · 7,089 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCorpus Design for Malay Corpus-based Speech Synthesis SystemTian-Swee Tan, Sh-HussainProblem statement: Speech corpus is one of the major components in corpus-based synthesis. The quality and coverage in speech corpus will affect the quality of synthesis speech sound. Approach: This study proposes a corpus design for Malay corpus-based speech synthesis system. This includes the study of design criteria in corpus-based speech synthesis, Malay corpus based database design and the concatenation … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 8,302 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Note on Model Selection in Mixture ExperimentsKadri Ulaş AkayIn mixture experiments, determination of the best model for modeling the mixture system is significant in both understanding and interpreting the system. For obtaining the best model in mixture experiments, different methods have been used. Most commonly used methods are the stepwise type methods. However, the models obtained with these methods are not always the best model depending on the … …Journal of Mathematics and Statistics, Vol. 3, Issue 3 · 30 Sep 2007 · 6,939 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSparse Sliced Inverse Quantile RegressionAli Alkenani, Tahir R. DikheelThe current paper proposes the sliced inverse quantile regression method (SIQR). In addition to the latter this study proposes both the sparse sliced inverse quantile regression method with Lasso (LSIQR) and Adaptive Lasso (ALSIQR) penalties. This article introduces a comprehensive study of SIQR and sparse SIQR. The simulation and real data analysis have been employed to check the performance of … …Journal of Mathematics and Statistics, Vol. 12, Issue 3 · 10 Sep 2016 · 7,131 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrating Higher-Order Thinking Skills, Cognitive Load Theory, and Metacognition in Algebraic Problem-SolvingGurudeo Anand TularamThis study synthesizes 30 years of research (1990–2020) on algebraic problem-solving, integrating Higher-Order Thinking Skills (HOTS), Cognitive Load Theory (CLT), and metacognitive strategies to enhance student outcomes. Utilizing a critical synthesis approach with data from student interviews, problem-solving observations, and longitudinal tracking, the analysis reveals consistent patterns across diverse educational contexts despite limitations and variable factors like teaching styles and … …Journal of Social Sciences, Vol. 22, Issue 1 · 21 Apr 2026 · 2,016 accessesView PDFCite