Classifier algorithm using negative sequence component
FUZZY CLASSIFIER FOR IDS ALERTS USING GENETIC ALGORITHM
... automatic classifier which uses fuzzy based genetic algorithm for learning the classification ...alert classifier that reduces the workload of the human ...the classifier and modifies if ...
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DNA Sequence alignment using programme by algorithm
... is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. can be ...
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Face Recognition Using Principal Component Analysis With Support Vector Machine Classifier
... by using PCA method will be implemented in various application that is involed in computer vision such as pedestrian detection, client verification, criminal identification and ...recognition algorithm thus ...
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Finger Knuckle Identification using Principal Component Analysis and Nearest Mean Classifier
... (5) Using these Eigen vectors, we can construct Eigen ...mean algorithm is used for the classification of the test image vector in the standard Eigen knuckle ...
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Identification of Facial Gestures using Principal Component Analysis and Minimum Distance Classifier
... Most of the earlier works on facial gesture recognition have been carried out with the configuration of the different regions of the face and their related features in mind. Basically some nodal points which defined a ...
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Holistic and component plant phenotyping using temporal image sequence
... segmentation using 3-dimensional histogram cubes and superpixels [ 2 ], plant growth and chlorophyll fluorescence under various abiotic stress conditions [ 3 ], quantification of plant growth, photosynthesis, and ...
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Holistic and component plant phenotyping using temporal image sequence
... segmentation using 3-dimensional histogram cubes and superpixels [2], plant growth and chlorophyll fluorescence under various abiotic stress conditions [3], quantification of plant growth, photosynthesis, and leaf ...
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Text Localization and Recognition from Video sequence using RBF-SVM classifier
... Shangxuan Tian et.al [3] has proposed a robust text segmentation method that employs Markov Random Field (MRF) and use graph cut algorithms to solve the energy minimization problem. To effectively select accurate seeds ...
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Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali
... expensive. The ML techniques can be grouped into the fol- lowing three categories, namely supervised ML technique, semi-supervised ML technique and unsupervised ML tech- nique. The idea of supervised learning is to study ...
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Svm Classifier Algorithm for Data Stream Mining Using Hive and R
... ordered sequence of instances that in many application of data stream mining can be read only once or a small number of times using limited computing and storage ...HDFS using the ...
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Fault Detection of Bearings Using a Rule-based Classifier Ensemble and Genetic Algorithm
... multiple classifier system named AMCS to cope with multi-class imbalanced learning, which makes a distinction among different kinds of imbalanced ...Each component of AMCS was selected discriminatively for ...
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Survey on Detection and Rectification of Distorted Fingerprint Using SVM Classifier by PCA Algorithm
... in negative recognition applications, such as watch list and reduplication ...SVM classifier is prepared to perform the classification ...SVM classifier is trained to act the classification ...
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Automatic Test Data Generation using Genetic Algorithm using Sequence Diagram
... III. UML The Unified Modeling Language (UML) is standard modeling language, is widely used to visualize, specify, construct and document the main artifacts of software system. UML is used in business modeling and many ...
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High Dimension Component Analysis Using Classification Algorithm for Gene Prediction
... occurs, which further leads to reduction in the accuracy of classification algorithms. This is due to the presence of the unwanted or insignificant features in the high dimensional dataset. Feature selection and feature ...
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A Data Clustering Using Modified Principal Component Analysis with Genetic Algorithm
... 5. R ESULT AND ANALYSIS Dataset and Test Performance The proposed method implements in MATLAB R2013a and tested with very reputed data set from UCI machine learning research center. In the research work, I have measured ...
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Emotion Recognition Between POMS and K-NN Classifier Algorithm Using Twitter API
... or negative), the emotion (joy, sadness, anger, ...are: Using a multitude of custom engineered features like those concerning emoticons, punctuation, elongated words and negation along with unigrams, ...
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Tooth Color Detection Using PCA and KNN Classifier Algorithm Based on Color Moment
... Principal Component Analysis (PCA) ...process using K Nearest Neighbour (KNN) classifier algorithm can be improved the accuracy performance of this ...only using KNN classifier ...
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Offline handwritten Arabic writer identification using negative selection algorithm
... None of the previous work on Arabic writer identification used the NSA as a bio-inspired classifier in the classification phase. Hence, in this study will implements NSA on Arabic hand writing, and evaluate sits ...
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Enhancing Random Forest Classifier using Genetic Algorithm
... such algorithm for classification in machine learning and statistics is the classifier called ‘Random ...the algorithm. Therefore, by modifying the existing algorithm by overcoming a few of ...
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Neural Networks Classifier Design using Genetic Algorithm
... Umělý neuron [ 1 ] je abstrakcí biologického neuronu, přičemž hlavním cílem tohoto modelu je co nejvěrněji napodobit princip práce biologickému neuronu vlastní. Tyto vstupní signály jsou[r] ...
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