![]() in International Conference on Computational Collective Intelligence. The fuzzy approach to assessment of ANOVA results. İstanbul Teknik Üniversitesi Sosyal Bilimler Enstitüsü …. 49-69.ĭonel, B., Yapay Sinir Ağları Yöntemiyle Kredi Skorlama. Geomatics, Natural Hazards and Risk, 2018. Kalantar, B., et al., Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN). 5-32.Ĭruyff, M.J., et al., A review of regression procedures for randomized response data, including univariate and multivariate logistic regression, the proportional odds model and item response model, and self-protective responses, in Handbook of Statistics. Biomedical Signal Processing and Control, 2019. Shaikhina, T., et al., Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation. Gazi Mühendislik Bilimleri Dergisi (GMBD). Tasdemir, Classification of Raisin Grains Using Machine Vision and Artificial Intelligence Methods. in 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA). Data Analysis by Web Scraping using Python. in 2016 IEEE International Conference on Engineering and Technology (ICETECH). An overview of modern cache memory and performance analysis of replacement policies. in 2017 International Symposium on Wireless Systems and Networks (ISWSN). Performance evaluation of modern broadwell architecture of a parallel & distributed microprocessor. in 2010 2nd International Conference on Computer Engineering and Technology. Flash SSD vs HDD: High performance oriented modern embedded and multimedia storage systems. International Journal of Modern Communication Technologies and Research, 2014. Chou, How much Solid State Drive can improve the performance of Hadoop cluster? Performance evaluation of Hadoop on SSD and HDD. in Proceedings of the Genetic and Evolutionary Computation Conference. ![]() Single-and multi-objective game-benchmark for evolutionary algorithms. IEEE.Ĭarvalho, P., et al., Kernel concurrency opportunities based on GPU benchmarks characterization. in 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). Evaluation of the Performance of Information and Computer Systems. in 2009 IEEE international symposium on workload characterization (IISWC). Rodinia: A benchmark suite for heterogeneous computing. ACM SIGARCH Computer Architecture News, 2007. Sibai, F.N., Performance analysis and workload characterization of the 3dmark05 benchmark on modern parallel computer platforms. in International Workshop on Applied Parallel Computing. ![]() High-performance computing in geomechanics by a parallel finite element approach. Performance Prediction of Benchmark Programs for Massively Parallel Architecture. ACM Transactions on Computer Systems (TOCS), 1996. Smith, Analysis of benchmark characteristics and benchmark performance prediction. Classification success was 89.4% with the random forest method and 84.3% with the logistic regression method. The effect of computer features in the dataset on classification has been analyzed. In this study, it is tried to predict which category the computers fall into by using the computer features in a dataset obtained from the internet by the web scraping method by random forest and logistic regression method. Various statistical and machine learning methods are used to determine these categories. ![]() The category of computers can also be determined as a result of the performance evaluation obtained. This benchmark software measures the software and hardware performance of the computers and enable users to gain information about the performance of their computers and components. There is various benchmark software to meet all these needs. In addition to these, computer and computer component manufacturers have to carry out innovation studies such as improving the products they produce by receiving feedback about the products they produce, and changing the marketing strategy. Users need an expert opinion to learn about their current computer or purchasing.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |