multiclass support vector machine
Optimal Classification of Lung Cancer Related Genes using Enhanced reliefF Algorithm and Multiclass Support Vector Machine
... and multiclass classifier are ...for Multiclass Support Vector Machine (MSVM) classifier for classifying the sub-classes of lung ...
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GenSVM: A Generalized Multiclass Support Vector Machine
... The third type of approaches are those that optimize one loss function to estimate all class boundaries simultaneously, the so-called single machine approaches (Rifkin and Klau- tau, 2004). In the literature, such ...
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Bearing Fault Diagnosis using Multiclass Support Vector Machine with efficient Feature Selection Methods
... a support for machinery maintenance ...used Multiclass Support Vector Machines (MSVM) for classifica- tion ...various machine-learning ...
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Facial Gesture Recognition using Surface EMG and Multiclass Support Vector Machine (SVM)
... The main aim of this paper is to recognize facial expressions from facial EMG signals. Features like root mean square (RMS), standard deviation (SD) and Mean average value (MAV) are used for classification using ...
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Effective plant discrimination based on the combination of local binary pattern operators and multiclass support vector machine methods
... Accurate crop and weed discrimination plays a critical role in addressing the challenges of weed management in agriculture. The use of herbicides is currently the most common approach to weed control. However, herbicide ...
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Efficient Seizure Classification using Multiclass Support Vector Machine with RFE
... the multiclass classification problem as it uses less system resources especially system ...complex multiclass problem is divided into several binary classes ...
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Hand Gesture Recognition using Multiclass Support Vector Machine
... Vision-based recognition system has developed rapidly over the past few years. This paper presents hand gesture recognition system that can be used for interfacing between computer and human using hand gesture. In ...
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Multiclass Support Vector Machine with New Kernel for EEG Classification
... the Multiclass Support Vector Machines with new Kernel (MSVM) for EEG (Electroencephalogram) signals classification problem with hybrid domain ...the Multiclass SVM classification ...
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Multiclass Classification with Cross Entropy-Support Vector Machines
... solving multiclass support vector machine ...of support vectors ...tackle multiclass classification problem: one-against-rest (OAR) and one-against- one ...solve ...
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Two Criteria for Model Selection in Multiclass Support Vector Machines
... Abstract—Practical applications call for efficient model selec- tion criteria for multiclass support vector machine (SVM) classification. To solve this problem, this paper develops two model ...
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Multiclass Cancer Classification by Using Fuzzy Support Vector Machine and Binary Decision Tree With Gene Selection
... of multiclass cancer classification with gene selection from gene expression ...structed multiclass classifiers with gene selection are proposed, which are fuzzy support vector machine ...
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OVA Tree Multiclass Framework for Support Vector Machine
... of multiclass classification problems as: recognition of handwritten digits and automatic Speech Recognition ...the machine learning and speech communities for the past few decades due to its importance in ...
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Multiclass Response Feature Selection and Cancer Tumour Classification With Support Vector Machine
... implementing Support Vector Machine method for feature selection and classification of biological samples in multiclass response cancer tumor ...
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A Multiclass Sentiment Classification using Skip-Gram Embedding with Support Vector Machine-Stochastic Gradient Descent (SVM-SGD)
... thus, multiclass problems determine n ...however, vector space representation lacks context and word sense information with ...dense vector representation and trained by language ...process, ...
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Multiclass Latent Locally Linear Support Vector Machines
... UCI machine learning datasets, one large binary dataset, three character and digit recognition databases, and a visual place categorization dataset show the power of the proposed ...
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CLASSIFICATION OF ELECTROCARDIOGRAM SIGNALS WITH SUPPORT VECTOR MACHINE AND RELEVANCE VECTOR MACHINE
... As described before, SVMs are intrinsically binary classifiers. But, the classification of ECG signals often involves the simultaneous discrimination of numerous information classes. In order to face this issue, a number ...
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Perbandingan Analisis Klasifikasi Antara Decision Tree Dan Support Vector Machine Multiclass Untuk Penentuan Jurusan Pada Siswa SMA
... of Machine Learning techniques to analyze and extract knowledge ...Classification Support Vector Machine Multiclass (SVMM) is known as the most advanced machine learning ...
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Multiclass latent locally linear support vector machines
... UCI machine learning datasets, three hand written character and digit recognition databases, and a visual place categorization dataset, show the power of the proposed ...
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Multiclass Classification Using Support Vector Machines
... for multiclass classification and introduce the Divide and Conquer Support Vector Machine (DCSVM) algorithm which relies on data sparsity in high dimensional space and performs a smart ...
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Support vector machine (SVM) based multiclass prediction with basic statistical analysis of plasminogen activators
... Therefore, we have made a systematic attempt to de- velop a method for recognizing Pg-activators and their subfamilies. We have designed a method, which is able to recognize the four subfamilies of SAK, SK, tPA and UK. ...
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