[PDF] Top 20 GenSVM: A Generalized Multiclass Support Vector Machine
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GenSVM: A Generalized Multiclass Support Vector Machine
... the multiclass SVM problem to K − 1 dimensions is appealing, since it reduces the dimensionality of the problem and is also present in other multiclass classifi- cation methods such as multinomial ... See full document
42
Facial Gesture Recognition using Surface EMG and Multiclass Support Vector Machine (SVM)
... Features extracted need to be classified in distinct classes for recognition of the different facial expressions. Classifiers used must be fast and proficient with better sensitivity and accuracy. The selected ... See full document
5
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. ... See full document
10
Bearing Fault Diagnosis using Multiclass Support Vector Machine with efficient Feature Selection Methods
... In this study, we used ten schemes for automatic fault classifi- cation problem. Four bearing conditions states including nor- mal, Inner race fault, outer race fault and ball fault are simu- lated on experimental set up ... See full document
12
Recognition of Diseases of Leaf using SVM with Radial Basis Kernel Function
... of Multiclass SVM classifier along with Radial basis function ...kernel. Support vector machine (SVM) is contemplated as a method that require pre-defined ...that support vector ... See full document
10
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 ... See full document
8
Multiclass Classification with Multi-Prototype Support Vector Machines
... relevance vector machine (RVM) in (Tipping, 2001) is a model used for regression and classification exploiting a probabilistic Bayesian learning ...of support vectors after the classifiers have been ... See full document
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Electron-Impact Ionization of Boronfluorides BFx (x=1, 2 & 3)
... of multiclass Support Vector Method based on binary classifications: “one-against-all,” “one-against-one,” and ...of machine, and managing the required inter-machine ... See full document
8
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines
... a multiclass kernel-machine on the MNIST dataset using a Pentium III computer running at 600MHz with 2Gb of physical ...to multiclass problems will become even more evident in problems with a large ... See full document
28
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, ... See full document
9
Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier
... on support vector machines [4] for developing weather based prediction models of plant diseases is proposed by Rakesh & ...network, generalized regression neural network) and support ... See full document
7
Forecasting of River Sediment Amount using Machine Model
... Abstract— Accurate estimation of sediments is important in river structures. The amount of suspended sediments is mostly determined by measurements from observation stations, sediment k ey curve, artificial intelligence ... See full document
7
OVA Tree Multiclass Framework for Support Vector Machine
... There was debate on the efficiency of multiclass methods from statistical point of view clearly, voting and DAGSVM are cheaper to train in terms of memory and computer speed than OVA. [25] Investigated the ... See full document
6
Efficient Seizure Classification using Multiclass Support Vector Machine with RFE
... Automatic seizure detection methods in the diagnosis of epilepsy were developed in the early 1970s. In recent years, many algorithms for the detection of seizures have been proposed and applied, such as frequency domain ... See full document
8
Hand Gesture Recognition using Multiclass Support Vector Machine
... An efficient hand gesture recognition system requires higher class robustness, accuracy and efficiency. In this paper we propose a method for classifying static hand gestures using Multiclass SVM. There exist many ... See full document
5
Multiclass Support Vector Machine with New Kernel for EEG Classification
... the Multiclass SVM can be used in the classification of the EEG signals by taking into consideration the misclassification ...our Multiclass SVM using wavelet based features can well preserve the most ... See full document
6
Automatic Plant Detection Using HOG and LBP Features With SVM
... Plants play a vital role in the cycle of nature. Plants are the only organisms which produce food by converting light energy from the sun. They also help in maintaining oxygen balance on earth by emitting oxygen and ... See full document
13
Multiclass Response Feature Selection and Cancer Tumour Classification With Support Vector Machine
... kernel-based machine learning method, the traditional SVM uses four types of kernel which include the Linear, Polynomial, Radial Basis Function (RBF) and Sigmoid ... See full document
14
Study of Effect of PCA on Speech Emotion Recognition
... The generalized diagram of voice-based emotion recognition is as shown below fig.1. Main stages of sound-based emotion recognition are pre-processing of speech signal, feature extraction and classification of ... See full document
6
Comparison of Classification Algorithms using Machine Learning
... in machine learning ...in machine learning algorithm and propose one algorithm that will have less train error and test error as compared to other existing ... See full document
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