one-class-one-network neural network classifier
Novel Detection and Analysis using Deep Variational Autoencoders
... previous one-class classifica- tion methods along with generative neural network architectures in order to detect a novel event as well as relate the learned one-class ...
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An Evaluation of One Class Classifier on Gene Expression Data
... different class should cluster at different positions, which means we can use a 2-d plane to separate ...Convolutional Neural Network, Support Vector Machine, Random Forest, ...
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LARGE-SCALE MALWARE CLASSIFICATION USING RANDOM PROJECTIONS AND NEURAL NETWORKS
... of classifier configurations in order to an- alyze the effect of different choices of random projection dimensions and other neural network ...best one-, two-, and three-hidden layer ...
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Joint Opinion Relation Detection Using One Class Deep Neural Network
... deep neural network in a classification ...introduce one-class classification problem and develop a One-Class Deep Neural ...
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Neural Network Classifier for Isolated Character Recognition
... methods. One of them is by neural networks. The general idea behind neural networks is that they use a large set of training data to slowly ‘learn’ what makes a one class different from ...
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Robust Neural Network Classifier
... Classification is one of the most frequently encountered decision making tasks of human activity. A classification problem occurs when an object needs to be assigned into a predefined group or class based ...
6
Classification of Power Quality Events Using Wavelet Analysis and Probabilistic Neural Network
... testing classifier. From Table 8 one can see that a confusion matrix has one row and one column for each ...original class and the column represents the predicted class by the ...
12
A New Approach to Pollen Classification using Computational Intelligence
... improved neural network based classifier is trained from the training dataset, where a feature vector is mapped onto a particular pollen class or name of plant ...The neural ...
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IMPROVING THE CLASSIFICATION PERFORMANCE OF MULTI-CLASS IMBALANCE DATA USING THE RADIAL BIASED NEURAL NETWORK FUNCTION
... Binary classifier such as support vector machine ,nearest neighbor and decision tree impart a role of multi-class ...as one against one(OAO) and one against ...as one against ...
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Class-switching neural network ensembles
... the class label of a fraction of instances of the training set to generate each ...that class-switching ensembles composed of a sufficiently large number of unpruned decision trees trained on data where a ...
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Multi Modal Iris Recognition System based on Convolution Neural Network
... only one bio-metric trait, suffers from limitation such as inter-class variation, intra-class variation and ...convolutional neural network and softmax classifier is used for ...
6
Early Detection and Prediction of Lung Cancer Survival using Neural Network Classifier
... In this firstly we load the database and then training and test sets. After that we can input the image between 1 to 909 and calculate the values of features extracted. Now in next step classification is done with the ...
9
One-Network Adversarial Fairness
... than one neural network since each adver- sary consists of a separate network, leading to difficulties in reaching stability among ...the one intro- duced by Louppe, Kagan, and Cranmer ...
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Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes
... a class of one-hidden-layer neural networks defined by smooth (but generally non-linear) activation functions, we identify a notion of intrinsic dimension and show that it provides necessary and ...
34
Kurdish speaker identification based on one dimensional convolutional neural network
... to one template ...the one or some specific phrases that the speaker says such as password, PIN code and a ...Convolutional Neural Network (CNN) for speaker identification and ...First ...
7
A Comparison of Neural Classifiers for Graffiti Recognition
... In particular, problem of handwriting recognition has been considered significantly during the last decades in the academic and industrial fields by employing types of direct matching. The performance of this recognition ...
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Building and Improving Artificial Neural Network Classifier
... advanced neural networks to solve the various machine learning ...implement neural networks, like Tensorflow, Theano, PyTorch, Keras ...Artificial Neural Network ...ANN classifier using ...
6
Abalone Age Prediction Problem: A Review
... Table 4 shows the scatter plots of predicted rings versus actual rings for the various models and techniques used. Comparing Figures 6, 9, 12, and 15, it can be seen that the leftmost and rightmost points in OLS are a ...
7
Blind Navigation System using Artificial Intelligence
... Logits Layer, the final layer of our neural network is the logits layer, which will return the raw values for our predictions. The logit model is a regression model where the dependent variable (DV) is ...
5
Recognition of Multi font English Numerals using SOM Neural Network
... on neural network that can identify the same symbols after training without limitation on the type of the ...complex neural network ...(SOM) neural network to measure similarity ...
7