Comparison of Global Accuracy using Different Classifiers
An Approach for Malicious Spam Detection in Email with Comparison of Different Classifiers
... According to [5], certain classes of users, such as executives or military personnel, appear to be targeted together in campaigns of malicious spam. We can hypothesize that the malicious spam emails which are sent to ...
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Texture Feature Extraction for Identification of Medicinal Plants and comparison of different classifiers
... the different categories C1, C2, ..., C5 under the different Training/Testing Vs Recognition possibilities using the all the six classifiers SGD, kNN, SVM, DT, ET and RF, obtained from the ...
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Neural Network For Face Recognition Using Different Classifiers
... two different algorithms with the first architecture based on fourth-order ...in comparison with the PCA due to the variety of different techniques used to compute the basis and iterative ...
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A Comparison of Classifiers in Performing Speaker Accent Recognition Using MFCCs
... 5. Comparison of Different Classifiers The MFCCs were computed for each sound track and the mean vectors were passed to different ...prediction accuracy is the average accuracy ...
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Classifiers Evaluation: Comparison of Performance Classifiers Based on Tuples Amount
... The present work has been validated with Rapid Miner 7.0.0 tool to analyze the performance of three different classifiers. They are Decision tree, Naive Bayes, and K-Nearest Neighbor. We evaluated the ...
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Recognition of Degraded and Non Degraded Roman Characters Using Different Classifiers
... the accuracy of character recognition. The recognition has been done using four different classifiers ...the accuracy of 100% for some characters without noise and ...A ...
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Classifiers selection for ensemble learning based on accuracy and diversity
... of comparison: vote rule, max rule, min rule, mean rule, median rule and product rule ...twenty classifiers and then combined them to clarify the relationship between individual classifiers and ...
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Mining Data Streams Using Accuracy Updated Ensemble Classifiers
... size. Using small size chunks can partly help in reacting to sudden changes, but doing so will damage the performance of the ensemble in periods of stability and increase computational ...called accuracy ...
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Hand Gesture Classification Using Different Classifiers With Weka
... found using WEKA's Simple K ...one global sigma value is used for all units (fastest), whether one value is used per unit (common practice, it seems, and set as the default), or a different value is ...
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Face Recognition In Lightening Conditions Using Different Classifiers
... Dimensionality using Face Component Analysis and Discriminant ...various classifiers such as Naive Bayes Classifier and SVM (Support Vector Machine) algorithms are used to classify the images and analyze ...
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Performance Comparison of EMD based Noise Classification for different SNR using GMM and k-NN Classifiers
... classification using Empirical Mode Decomposition (EMD). Instead of using an apriori choice of filters or basis functions to separate a frequency component, the EMD typically expands the time series into a ...
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Comparison of Dimensional Accuracy of Three Different Impression Materials Using Three Different Techniques for Implant Impressions: An In Vitro Study
... polyether hybrid with open tray splinted copings. Five samples of each group were evaluated. A total of 45 impressions were taken. A stainless steel master metal framework with three internal hex implants was fabricated ...
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A Definitive Procedure to Evaluate the Accuracy of CAD/CAM Machines using Advanced Classifiers
... structure, different sub-categories derived from the same parent node have many common attributes, retrieval will introduce noise inevitably because similarity alone is difficult to objectively measure the degree ...
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Analysis of Different Classifiers for Medical Dataset using Various Measures
... mining using WEKA ...the accuracy in the short time ensemble is ...more classifiers. For experimentation of ensembles, different types of base classifiers such as Bagging and Adaboost ...
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SwatCS: Combining simple classifiers with estimated accuracy
... tweet using both provided and ex- ternal data. The accuracy listed is the classifier- specific accuracy determined by the alpha value for that phrase in the ...tweet. Using a dev set, we ex- ...
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A Comparative Study on using Principle Component Analysis with different Text Classifiers
... In [6] they try to solve a critical text classification applica- tion, phishing email detection. They use two feature selection techniques - chi-square, information gain ratio and two feature extraction techniques ...
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Using Evolving Fuzzy Classifiers to Classify Consumers with Different Model Architectures
... fuzzy classifiers (eClass and FLEXFIS-CLass) in order to classify consumers into different categories for directing marketing ...these classifiers and different types of model architectures ...
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Classifiers accuracy improvement based on missing data imputation
... accurately using surrogate splits, which are essential in handling the missing data ...p, using a set of features a, b and c, and if for a new data point there are values only for a and b, the missing value ...
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Deterministic Classifiers Accuracy Optimization for Cancer Microarray Data
... tree classifiers recursively partition the instance space using hyperplanes that are orthogonal to ...for different algorithms), most frequently using its val- ...in accuracy in both ...
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A Comparison of Neural Classifiers for Graffiti Recognition
... Testing Using the tree-structured neural network classifier has brought a recognition system with very high accuracy and ...higher accuracy and lower confusion in the recognition ...100% ...
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