multi-class pattern classification
Dendogram-based SVM for Multi-Class Classification
... treat multi- class ...a pattern query, we present it to the “root” SVM, and then, according to the output, the pattern is presented to one of the two SVMs of the subsets, and so on through the ...
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Classification and Grading Rice Using Multi-Class SVM
... effective classification features. A one-against-one multi-class support vector machine with kernel of RBF was trained by the transformed training pattern vectors and tested by the transformed ...
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A multi granularity pattern based sequence classification framework for educational data
... sequence classification problem in which users can be represented by sequences of their online ...proposed multi-granularity classifier that employs frequent sequential patterns at different time ...
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Optimising ECOC matrices in multi-class classification problems
... The main idea of classifier combination can be explained from real life: it is always better to decide about one issue after getting many different opinions from different sources rather than relying on just one source. ...
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A robust SVM classification framework using PSM for multi-class recognition
... But some ideal strong classifiers usually require a large number of training samples and very time-consuming training experiments. Even now, many researchers are still trying to solve these problems. Li et al. [4] ...
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Data Fusion for Traffic Incident Detection Using D-S Evidence Theory with Probabilistic SVMs
... the pattern from the hyperplane, one can calculate the posterior probability in binary classification ...the class-conditional densities p(y=1|f) and ...to multi- class phase. ...
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Multi Class Classification Approach for Classification of ADAMs, MMPs and Their Subclasses
... Studies on MMPs began with the discovery of collagenase in the tadpole tail in 1962, and now it has become a vast research field. This family of enzymes plays a central role in the pathological degradation and ...
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Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification
... [12] Bottou L, Cortes C, Denker JS, Drucher H, Guyon I, Jackel LD, LeCun Y, M¨ uuller UA, Sackinger E, Simard P, and Vapnik V. Comparison of classifier methods: a case study in handwriting digit recognition. IAPR (eds) ...
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AN EFFICIENT MULTI-CLASS EXPLORATION OF ENSEMBLE CLASSIFICATION USING GENETIC ALGORITHM
... Abstract: Pattern mining is the process of extracting and identifying patterns in the unstructured data from different ...single class ensembles with individual ...based classification performs more ...
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Multilingual Multi class Sentiment Classification Using Convolutional Neural Networks
... We use a deep neural network model for predicting sen- timent polarity. The architecture of our model, shown in Figure2, is straight-forward. The first layer in our model is a randomly-initialized word embedding layer ...
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A NORMALIZED MEASURE FOR ESTIMATING CLASSIFICATION RULES FOR MULTI-CLASS IMBALANCED DATASETS
... of classification has received lot of importance in the data mining ...field. Classification aims at predicting the class label of the unseen instance given its description in terms of a set of ...A ...
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Fingerprint Based Gender Classification using multi class SVM
... Gender classification from fingerprints, which is an important step in forensic anthropology in order to identify the gender of a criminal and minimize the list of suspects ...and pattern type ...the ...
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Improved method for predicting protein fold patterns with ensemble classifiers
... fold pattern prediction is a multi-class classification problem, the final result depends on the sum of the probabilities of the individual base ...
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Discriminative training for Convolved Multiple-Output Gaussian processes
... for multi-output regression and for multi-class ...the multi-output Gaussian process is that it can be used as a generative model for vector-valued random fields in the context of ...
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Protein Fold Recognition Using Adaboost Learning Strategy
... structural class, 9 types to all β class, 9 types to α/β class, and 3 types to α+β ...the classification of 27 folds is one level deeper and more challenge than that of 4 major structural ...
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Weighted decoding ECOC for facial action unit classification
... some classification problems, both two class and multiclass, it is known that the lowest error rate is not always reliably achieved by trying to design a single best ...the class labelling is ...
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OFF-LINE ARABIC HANDWRITTEN ISOLATED CHARACTER RECOGNITION
... This paper presents an effective system for off-line Arabic handwritten character recognition. This system focuses on employing hybrid features, where the structure features are combined with the statistical features. ...
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Working Class Consciousness
... of class consciousness ...a class, which need to be protected through collective action against opposing claims of other ...working- class consciousness, which is the eventual replacement of the ...
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Intelligent Anomaly Detection Techniques for Denial of Service Attacks
... quality is not the primary concern for the attack detection problem, we think that a good quality clustering yields better attack detection results. To evaluate classification algorithms accuracy, detection rate, ...
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Multi Valued Neuron with Sigmoid Activation Function for Pattern Classification
... To solve this classification problem, we use 5-fold cross-validation. The first fold has 136 instances in the training set and 42 instances in the testing set. The other 4 folds have 144 instances in the training ...
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