Algorithm for classification of the study subjects
An arrhythmia classification algorithm using a dedicated wavelet adapted to different subjects
... the subjects except subject ...proposed algorithm, those studies show low ST and +P values for the S class in many subjects but achieve high overall performance owing to the high performance only for ...
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Study Of Classification Algorithm For Lung Cancer Prediction
... mining classification techniques and it is found that the Naive Bayes algorithmgives a better performance over the other classification algorithm such as Bayesian and ...
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A comparative Study of Classification Algorithm for Printed Telugu Character Recognition
... the classification of input feature vectors into predetermined character classes by using k means ...an algorithm to view the output/resultant image & input image to visually check the accuracy of the ...
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Classification of Learner's Ability using Classification Algorithm
... Index Terms- IoT , Sensors, Learning; Classification Algorithm, learning ability, Weka, Classifier. 1. INTRODUCTION Internet of things is the perspective indication where by interconnecting the physical ...
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Comparative Study between the (BA) Algorithm and (PSO) Algorithm to Train (RBF) Network at Data Classification
... for classification. The gradient descent (GD) algorithm (1999) is the most popular method for training the RBF ...optimization algorithm that is used to search for the local minimum of a function ...
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A cooperative evolutionary algorithm for classification
... evolutionary algorithm based on cooperative coevolution is applied to a clas- sification problem, the Pima Indian diabetes diagnosis ...to classification. For each cat- egory of the classification ...
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Naive-Bayes Classification Algorithm
... Naive-Bayes Classification Algorithm ...Bayesian Classification The Bayesian Classification represents a supervised learning method as well as a statistical method for ...
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PLANT LEAF CLASSIFICATION USING SUPERVISED CLASSIFICATION ALGORITHM
... forward algorithm to classify our plant leaf images and also compare NN with SVM ...achieved classification accuracy of ...of classification is checked using color feature and texture features ...
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A Study of Different Quality Evaluation Functions in the cAnt-MinerPB Classification Algorithm
... covering classification algorithms, there is significant in- terest in this field and a number of papers have been pub- ...theoretical study [6], which looks at how rule quality functions affect a ...
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A Study On Naive Bayes Text Classification Algorithm Based On Position Weighting
... Bayes algorithm in text classification has the limitation of the hypothesis: each attribute is independent in the ...Bayes algorithm, and different positions of feature words in a document have ...
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Flower Grain Image Classification Using Supervised Classification Algorithm
... propagation algorithm to classify our pollen grain images. Accuracy of classification is checked using color feature and texture features standalone and also with combined ...
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A study of different quality evaluation functions in the cAnt-Miner(PB) classification algorithm
... either algorithm, the quality of each individual rule is calculated, and in Ant-Miner the function which calculates this quality may have a large effect on the quality of the model as a ...covering ...
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A Classification Algorithm for High-dimensional Data
... nets; classification algorithm; online learning; feature selection; high-dimensional data 1 Introduction The arrival of big and streaming data is forcing major changes to the machine learning ...
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Improving the cAnt-MinerPB Classification Algorithm
... ACO classification algorithm that employs a different search strategy than ...the algorithm is returned as the discovered classification ...
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A double pruning algorithm for classification ensembles
... pruning algorithm for classification ensembles 9 5 Conclusions In this article we propose to combine two existing pruning strategies to reduce the computational costs associated with the use of ensembles of ...
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Hierarchical Classification Algorithm Based on FastText
... the classification effect will decrease and the time cost will increase ...hierarchical classification algorithm based on fastText text classification tool to solve classification ...
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A Text Classification Algorithm Based on PCA
... Text classification. Abstract. Study the related WEB text feature extraction algorithm, through the mutual information (MI), document frequency (DF), information gain (IG) andχ2 statistics (CHI) ...
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A Classification Algorithm for Predicting the Structure of Summaries
... an algorithm which uses a classification component at each iteration to predict predicates or phrases to be prepended to fragments extracted from a doc- ...
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A Classification Algorithm to Improve the Design of Websites
... partitioning algorithm to finds groups of strongly correlated pages by partitioning the graph ac- cording to its connected ...for classification based on proposed ...
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Classification with an improved Decision Tree Algorithm
... of classification process is to classify new and unseen sample ...in algorithm, the classification accuracy is improved by implementing the diversities of algorithm using RGUI with weka ...
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