Comparison with other machine learning techniques
A comparison of machine learning techniques for hand shape recognition
... The comparison between the machine learning techniques focuses on four key comparative factors: time-to-optimize, time-to-train, computational speed and ...Each machine learning ...
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A comparison of machine learning techniques for detection of drug target articles
... to other approaches, because we are the first to address the problem of classification of drug tar- get articles, and our experiments have been performed on a spe- cific corpus for our ...
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Comparison of Machine Learning Techniques for Hand Written Digit Recognition
... © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4973 assistance" use of convolution with versatile arrangements reasonable for a few visual report issues. The this fundamental ...
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Bankruptcy prediction: a comparison of some statistical and machine learning techniques
... Descriptions of each of the financial ratios are included in Appendix A. Figures 4 and 5 show some regularity on the first four as well as on the last three po- sitions occupied by the features. Among the first group, ...
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A comparison of machine learning techniques for survival prediction in breast cancer
... high-throughput techniques to measure gene expression led in the last decade to a large body of research on gene expression in cancer, and in particular on the possi- bility of using gene expression data to ...
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Comparison of SIFT & SURF Corner Detector as Features and other Machine Learning Techniques for Identification of Commonly used Leaves
... extraction techniques to extract features, clustering algorithm to cluster the features and decision trees as a ...extraction techniques like SIFT and SURF which are robust and provide matching in spite of ...
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A Comparison of Machine Learning Techniques for Taxonomic Classification of Teeth from the Family Bovidae
... accurate machine learning algo- rithms on the classification of fossil teeth in the Family ...taxons, machine learning algorithms can be trained to classify ...different machine ...
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Prediction of claims in export credit finance: a comparison of four machine learning techniques
... ML techniques have delivered satisfactory results against the “Claims Y/N” and “Claim ratio class” task, but the generally poor performance against the “Claim ratio” task is a serious ...two other tasks by ...
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Predicting Happiness - Comparison of Supervised Machine Learning Techniques Performance on a Multiclass Classification Problem
... perform other comparison in the future work, where the “reduction to binary” would be performed ...the other as negatives), could be selected for the purposes of new ...
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A comparison between heuristic and machine learning techniques in fall detection using Kinect v2
... the machine learning approach, an AdaBoostTrigger machine learning technique was ...AdaBoost machine learning algorithm that operates depending on its dataset and trainings, ...
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Filtering Spam from Mixed Arabic and English Messages: A Comparison of Machine Learning Techniques
... filtering, machine learning techniques, text data ...The other approach is to use text mining or machine learning methods which consider spam filtering as two-class text ...
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Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models
... machine learning algorithms and the stability within each machine learning method. Ranking importance of variables in each model was consistent with our expectations. Biopsy testing indi- ...
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Comparison of HDNN with other Machine Learning Models in Stock Market Prediction
... statistical techniques. This was the era when machine learning was not a ...of machine learning techniques. Various machine learning tools have been used by the ...
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A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices
... different machine learning techniques for human activity ...traditional machine learning methods; we also tested convolutional deep learning networks that operate on raw data ...
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Machine-Learning Techniques for Customer Recommendations
... for comparison, instead they depict the relative performance between different measures of the individual ...the other hand makes less of a sharp turn, which shows that there is more of a trade-off between ...
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Machine Learning Techniques for Code Optimization
... Based on the comparison, the paper concluded that a new fixed optimization sequences using their GAs that reduces the binary code size. Agakov et al.[20] adapted several models to accelerate the exploration of an ...
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Using Machine Learning Techniques for Stylometry
... or techniques to apply in standard research, which is precisely the greatest problem confronting ...different techniques; there has not been a comparison of results on a large scale as to what ...
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Performance Comparison of Machine Learning Models
... clustering techniques are used to forecast the ...a machine learning problem and has been handled using regression trees, multi-class classification and multiple binary classifications ...these ...
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Rainfall prediction using Machine Learning Techniques
... The other reason was that it performed better than other algorithms when handling inconsistences in the data such as noise or incomplete ...The other algorithms could reach a maximum accuracy of ...
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Machine learning techniques for high dimensional data
... existing techniques, using the six datasets listed in Table ...embedding learning methods are all based on an eigen decomposition of a d× d matrix, dimension reduction becomes necessary in the ...
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