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Research ArticleOpen accessEvery word in the titleUsing Background Knowledge and Random Sampling in Genetic Programming: A Case Study in Learning Boolean Parity FunctionsLappoon R. TangThe Boolean even-N-parity function returns T (i.e., true) if an even number of its Boolean arguments for N arguments are T and otherwise returns NIL (i.e., false). Learning Boolean even-N-parity functions has been recognized as a difficult problem for evolutionary computation (such as genetic programming) especially when N is large (e.g., 20+). A number of approaches have been proposed for … …Journal of Computer Science, Vol. 19, Issue 7 · 10 Jul 2023 · 5,481 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparison Study between Different Sampling Strategies for Intrusion Detection System of Active Learning ModelGhofran Mohammad Alqaralleh, Mohammad Aref Alshraideh, Ali AlrodanActive learning aims to train an accurate model with minimum cost by labeling the most informative instances without compromising the model performance. So, choosing an efficient criterion for instance selection is the most important step. Sampling stage is the main issue in active learning for many problems such as intrusion detection system. There are many methods for sampling stage to … …Journal of Computer Science, Vol. 14, Issue 8 · 26 Aug 2018 · 8,183 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparison Between Selective Sampling and Random Undersampling for Classification of Customer Defection Using Support Vector MachineHeri Kuswanto, Yogi Sarumaha, Hayato OhwadaQuality of a product determines the customer loyalty and it can be measured by conducting a survey. Company ‘X’ that sells three kinds of product (low, medium and high price) collected very large dataset through an online survey and recorded customer defection and their characteristic. The measured variables are Update Accumulation, Product Price, Customer Type, Delivery Status and Customer Defection. … …Journal of Computer Science, Vol. 13, Issue 8 · 16 Aug 2017 · 7,263 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Systematic Procedure for Square Random Lattice SamplingGirish Chandra, Neeraj TiwariAn attempt has been made in this paper to improve the method 'Square Random Lattice Sampling' by suggesting a systematic procedure for achieving the goals under controls beyond stratification. The estimator of mean and its variance are calculated. Results shows that the relative precision of the proposed procedure increases as size of the latin square and the number of latin … …Journal of Mathematics and Statistics, Vol. 13, Issue 3 · 20 Jul 2017 · 6,962 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOn the Mean Estimation using Stratified Double Median Ranked Set SamplingMahmoud Ibrahim Syam, Amer Ibrahim Al-Omari, Kamarulzaman IbrahimStratified Double Median Ranked Set Sampling (SDMRSS) method is suggested for estimating the population mean. The SDMRSS is compared with the Simple Random Sampling (SRS), Stratified Simple Random Sampling (SSRS) and Stratified Ranked Set Sampling (SRSS) methods. It is shown that SDMRSS estimator is an unbiased of the population mean and is more efficient than the SRS, SSRS and SRSS … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 7,576 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRandomized Response Procedure for the Estimation of the Population Ratio using Ranked Set SamplingAgustin Santiago, Carlos N. Bouza, J. Maclovio Sautto, Amer Ibrahim Al-OmariIn this study we deal with the estimation of the population ratio, when a Randomized Response (RR) procedure is used for collecting responses and Ranked Set Sampling (RSS) is the selection method. The variances of the suggested estimators are calculated. Comparisons between different estimators are presented. …Journal of Mathematics and Statistics, Vol. 12, Issue 2 · 27 Apr 2016 · 7,396 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSEDIMENT CORE SAMPLING AND ANALYSIS OF KAW LAKEDejene Alemayehu, Jason McAlister, William FoxThe Kaw Nation and Black land Research Center in July 2012 conducted a sediment core sampling from Kaw Lake. Kaw Lake is a reservoir constructed in 1976 by the Army Corps of Engineers for the purpose of water supply and recreation. It is located 11 miles east of Ponca City, Kay County, Oklahoma. This reservoir covers approximately 17,040 acres (69 … …American Journal of Environmental Sciences, Vol. 10, Issue 5 · 15 Sep 2014 · 7,391 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleADAPTIVE CLUSTER SAMPLING USING AUXILIARY VARIABLENipaporn ChutimanIn this study we study the estimators of the population mean in adaptive cluster sampling by using the information of the auxiliary variable. The estimators in this study are the classical ratio estimator, the ratio estimator using the population coefficient of variation and the coefficient of kurtosis of the auxiliary variable, the regression estimator and the difference estimator. Simulations showed … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 4 Sep 2013 · 9,894 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUtilization and Modification of Point Sampling and Line Sampling in the Forestry SurveyDifei ZhangProblem statement: In the practice of conventional point sampling and line sampling methods in the forestry survey, we often encounter problems such as boundary and hole problems. These problems could introduce bias in the results of forest sampling. Proper modifications are needed. Approach: This study developed novel probability computation approaches in the utilization and modification of horizontal point sampling and … …Current Research in Biostatistics, Vol. 1, Issue 1 · 30 Jun 2010 · 7,676 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThree Dimensional Multidirectional Geographical IP Traceback: Direction Ratio Sampling AlgorithmA. Rajiv Kannan, K. Duraiswamy, K. SangeethaProblem statement: An important and challenging problem is that of tracing DOS/DDOS attack source. IP traceback is the process of identifying the actual source(s) of attack packets, So that the attackers can be held accountable as also in mitigating them, either by isolating the attack sources or by filtering packets for away from the victim. Several IP traceback schemes have … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,233 accessesView PDFCite