[PDF] Top 20 Improved Protein Function Classification Using Support Vector Machine
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Improved Protein Function Classification Using Support Vector Machine
... Support Vector Machines is based on statistical learning theory and is tremendously being used in data ...regression, classification, and decision tree ...kernel function which computes a dot ... See full document
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Cyber Attack Classification using Improved Ensemble Technique based on Support Vector Machine and Neural Network
... and classification is important area of research in the field of network system ...clustering, classification and model ...Cyber-attack classification can either have single variable approach or a ... See full document
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Performance Analysis of Automobile data using Bagged Ensemble Classifiers
... provided. Classification is a very common data mining ...handling classification tasks, an important issue usually encountered is determining the best performing method for a specific ...of using a ... See full document
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Brain Tumor Classification using Support Vector Machine
... non-cancerous using SVM algorithm. Earlier many have detected using ANN which works on Empirical Risk ...are using Support Vector Machine algorithm that works on structural risk ... See full document
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Attribute Based Face Classification Using Support Vector Machine
... decision function for a hyperplane can be used as a classification rule by assigning an observation to the positive class (y = 1) for f(x) ≥0 and the negative class (y =− 1) ...decision function; ... See full document
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Gender classification in human gait using support vector machine
... Now we can extract a 2D stick figure with the nine body points from the skeleton data of each body segment. The body points are clearly extracted around three double supports [14], but the points around single ... See full document
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An image classification algorithm using fuzzy support vector machine
... Texture reflects local structure feature of the image, specifically say, it is change of the pixel grayscale or color in the image of a pixel neighborhood. The change is related in the spatial statistics, which consists ... See full document
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CLASSIFICATION OF ELECTROCARDIOGRAM SIGNALS WITH SUPPORT VECTOR MACHINE AND RELEVANCE VECTOR MACHINE
... the classification of ECG signals often involves the simultaneous discrimination of numerous information ...multiclass classification strategies can be adopted [15], ...score function used for ... See full document
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Online Full Text
... methods, support vector machines (SVMs) are well-known [6] by its highly accurate computational capabilities and high-dimensional data ...By using learning algorithms for classification, they ... See full document
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A Review On Parkinson's Disease Diagnosis Through Speech
... the classification stage, a Support Vector Machine (SVM) implementation of the algorithm was used with C-SVC (Support Vector Classification) kernel type and Radial Basis ... See full document
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Performance Analysis of Classifiers for Seizure Diagnosis for Single Channel EEG Data
... of classification. This research work compares the classification results between seizure and non-seizure and inters ictal activity using Neural Network, Support Vector Machine ... See full document
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Support Vector Machine based Classification into Groups using Discriminant Function
... Abstract: Support Vector Machines(SVMs) support vector networks and also supervise learning models with associated learning algorithms that analyze data and recognize patterns used for ... See full document
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Classification of power disturbances using multilevel support vector Machine
... Power-quality (PQ) monitoring is an essential service that many utilities perform for their industrial and larger commercial customers. Detecting and classifying the different electrical disturbances which can cause PQ ... See full document
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Improved support vector machine using multiple SVM-RFE for cancer classification
... repeated using 10-fold cross-validation on the training set for defining which remark are in which ...by using this fold, perform gene ranking for all 10 training ...this function, there are also has ... See full document
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Breast Cancer Detection using Support Vector Machine
... them. Support vector machine with quadratic kernel algorithm is applied to classify the ...results. Support vector machine is a supervised learning methods with associated ... See full document
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Online Full Text
... Region growing is a simple region-based image segmentation method using pixel information to adjust the seed point initialization. Small areas in an initial set are iteratively merged according to similarity ... See full document
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CLASSIFICATION OF LEAF DISEASES IN APPLE USING SUPPORT VECTOR MACHINE
... stage. Using image processing, we can able to identify the type of disease in plant leaf by analyzing the color and texture ...segmentation using K means clustering and identification of significant ... See full document
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Traffic Data Analysis using Decision Tree and Naïve Bayes Classifier
... Irvine Machine Learning Repository is hosted by the Center for Machine Learning and Intelligent Systems at UC ...the machine learning ...in machine learning repository ... See full document
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Email Spam Classification Using Support Vector Machine Algorithm
... [1] J. W. Yoon, H. Kim, and J. H. Huh, “Hybrid spam filtering for mobile communication,” computers & security, vol. 29, no. 4, pp. 446–459, 2010. [2] H. He and E. A. Garcia, “Learning from imbalanced data,” IEEE ... See full document
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Query classification using topic models and support vector machine
... • Collecting and organizing the library metadata as a reference set: the library metadata contains the in- formation about artworks that have been annotated by experts. To take advantage of this information ... See full document
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