[PDF] Top 20 Document Classification Using Support Vector Machine
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Document Classification Using Support Vector Machine
... We determined the average accuracy of three classes is 66.667%. We finally conclude our work by proving that we developed very efficient and reliable classification technique. Our technique majorly focused on news ... See full document
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Comparative Study for Text Document Classification Using Different Machine Learning Algorithms
... Support Vector Machine (SVM) is one of the well-known classification methods for text ...sets Support vectors are used to specify the separating hyper plane SVM has ability to handle ... See full document
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Document Text Classification Using Support Vector Machine
... text. Document Classification is considered as one of the most widespread fields in these days, due to the amount of texts available on the internet and social networking ...make machine able to ... See full document
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Gender classification in human gait using support vector machine
... A 3-layer feed-forward neural network with resilient back-propagation learning al- gorithm was also tested for comparative study. The average accuracy with the 10-fold cross validation was 98.0% for training, 93.0% for ... See full document
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Query classification using topic models and support vector machine
... of classifying queries into a more complex taxon- omy containing different topics. Our study falls into this second stream. To classify queries consider- ing their meaning, some work considered only in- formation ... See full document
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Email Spam Classification Using Support Vector Machine Algorithm
... email classification broadly change among various approaches in the literature survey, classification with a small set of discriminative features is favored in perspective of processing ... See full document
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CLASSIFICATION OF LEAF DISEASES IN APPLE USING SUPPORT VECTOR MACHINE
... In the proposed system, First RGB image is transformed into HSV color space and the color feature is extracted from it. Only H component is taken for further analysis while extracting the texture feature [9]. As green ... See full document
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Improved Protein Function Classification Using Support Vector Machine
... After classification process we came across some good results defining the differentiation of two protein ...SVM classification as well we have also used curve fitting tool to validate our results and to ... See full document
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An image classification algorithm using fuzzy support vector machine
... With the development of electronic technology and the Internet technology, and the rapid popularization of image acquisition devices such as digital cameras, camera device and electronic camera etc. in recent years, the ... See full document
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Attribute Based Face Classification Using Support Vector Machine
... First, consider the case where the data can be separated into two groups by a hyperplane without any training errors. If the data have this property, they are said as linearly separable and hyperplane that separates data ... See full document
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Fundus Image Classification Using Two Dimensional Linear Discriminant Analysis and Support Vector Machine
... system of diabetic retinopathy fundus image. The system consists of two phases: training and testing. Each stage consists of preprocessing, segmentation, feature extraction and classification. The tested image ... See full document
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A Survey on Various Machine Learning and Deep Learning Algorithms used for Classification of Spam and Non Spam Emails
... different machine learning and deep learning algorithms to classify the spam and non-spam emails by accessing the received emails of an email ...The machine learning approaches and mechanisms like ... See full document
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Impact of Physico Chemical Properties for Soils Type Classification of OAK using different Machine Learning Techniques
... type classification based on particular physical and chemical (Physicochemical) properties provides high levels of ...Supervised machine learning algorithms such as SVM, Logistic Regression, KNN, LDA, ... See full document
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Identification of materials through SVM classification of their LIBS spectra
... with machine learning technique capable of pattern ...Supervised machine learning techniques are more suited for the ...as Support Vector Machines (SVM), it is considered to be better than ... See full document
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A Review on Support Vector Machine for Data Classification
... data. Classification is a data mining (machine learning) technique used to predict group membership for data instances and Support Vector Machine is used for Linear and Non Linear ... See full document
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Recognition of Facial Expressions in Image Sequence using Multi-Class SVM
... expression using KCCA achieved as ...parameter using active contour algorithm and Multistream Hidden Markov Model (MHMM) based automatic facial expression recognition have ...Multi-class Support ... See full document
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Breast Cancer Detection using Support Vector Machine
... The support vector machine classifier is trained with the training data ...approach using evaluation metrics such as sensitivity, specificity and accuracy are computed using the ... See full document
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Traffic Data Analysis using Decision Tree and Naïve Bayes Classifier
... D. SUPPORT VECTOR MACHINE : In machine learning, support vector machines are supervised learning models with associated learning algorithms that analyze data used for ... 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], ... See full document
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Text Document categorization using support vector machine
... It is with a sense of gratitude and appreciation that I feel to acknowledge any well wishers for their king support and encouragement during the completion of the project. I would like to express my heartfelt ... See full document
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