two-stage classification method
Enhanced GUI Test Case Generation Method using Two stage Classification Method
... first stage handles the value assignment of the first N vector attributes, where N is the number of different IDs in the ...second stage determines all the possible pairwise ...third stage then ...
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Clustering based Two-Stage Text Classification Requiring Minimal Training Data
... the two-stage framework performs better than CBC algorithm in supervised learning, we substitute SVM for TSVM in CBC, named ...of two most similar classes of 20Newsgroups and 1000 examples in each ...
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Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification
... a method to ex- ploit label dependency with dimension reduction in multi- label classification ...novel Two-Stage Label Em- bedding (TSLE) paradigm that involves Neural Factorization Machine ...
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Two-stage Gene Selection and Classification for a High-Dimensional Microarray Data
... a two-stage gene selection method has been proposed for dealing with the problem of classification in high-dimensional microarray ...the two-stage gene selection could produce ...
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A Two Stage Parsing Method for Text Level Discourse Analysis
... We conduct relation labeling after the naked tree structure has been constructed. On one hand, the naked tree structure can provide more infor- mation to support relation classification, verified in (Feng and ...
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Aspect-Based Sentiment Analysis of Online Marketplace Reviews Using Convolutional Neural Network
... using two-stage classification with convolutional neural network methods and feature extraction ...CNN's method with the use of the best hyperparameter combination on the second stage ...
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Optimal Dynamic Treatment Regimes from a Classification Perspective for Two Stage Studies with Survival Data.
... a method called Outcome Weighted Learning (OWL), which also views the issue of finding the one stage optimal rule as a weighted classification ...the classification problem is different from ...
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Two-Stage Bagging Pruning for Reducing the Ensemble Size and Improving the Classification Performance
... the classification performance ...double-bagging method to deal with the problems of variable and model selection ...and classification trees to generate ensemble ...pruning method, called ...
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Innovative Two-Stage Fuzzy Classification for Unknown Intrusion Detection
... IDS method the consequences of the inadequate security mechanisms in current computer network systems are both the potential for loss of information critical to information security by malicious attacks and higher ...
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Title: Two Stage Classification Model for Crop Disease Prediction
... In this present work, prediction of agricultural disease is done be defining neural and HMM adaptive method. It involved three main stages-On datasets attributes the weight identification is done using fuzzy ...
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Two-Stage Approach to Image Classification by Deep Neural Networks
... proposed two ways of making deeper the neural network ...back-prop method, CNN obtains all weights of convolutional filters and constructs a library of image elements linked to different image classes (see ...
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A fuzzy approach to text classification with two-stage training for ambiguous instances
... the two feature sets extracted from each data set using BOW and Doc2vec, respectively, the correlation based feature subset selection method is adopted to reduce the dimensionality leading to two ...
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Improving Interaction Quality Recognition Using Error Correction
... the stage two classifier targeting IQ ...the stage two classifier is of most interest since this approach can be viewed as one stage classi- fication with an additional ...one ...
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A two stage classification approach identifies seven susceptibility genes for a simulated complex disease
... A genome screen was performed for affection status using the nonparametric linkage analysis methods imple- mented in Mapmaker/SIBS [1]. Quantitative trait locus (QTL) analysis was also performed for age at onset, sever- ...
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A two-stage method for identifying a smaller subset of genes in microarray data
... Hence, this paper proposes a two-stage gene selection method to select a smaller (near-optimal) subset of informative genes that is most relevant for the cancer classification. It has tw[r] ...
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Vascular tree tracking and bifurcation points detection in retinal images using a hierarchical probabilistic model
... based method which is an unsupervised ...a two-dimensional linear kernel with a Gaussian profile to search for vessel segments along twelve directions ...
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Comparison of one-stage free gracilis muscle flap with two-stage method in chronic facial palsy
... For production of a relatively normal smile, the function of the zygomaticus muscle should be reproduced. It has a 50 millimeters length and maximum length of its excursion is 15 to 20 mm [17,18]. The muscle flap should ...
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Bilingual Product Name Dictionary Construction Using a Two Stage Method
... since two words with iden- tical meaning are often used in similar contexts across ...of two entities can be aligned about their ...of two en- tities is similar, so they corresponds to entity pairs ...
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A two-stage calibration method for industrial robots with joint and drive flexibilities
... A two stage procedure is presented where elastic deflections are considered for the calculation of the geometric ...first stage, the unknown stiffness and damping parameters are ...second ...
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A Fast Dictionary Learning Algorithm for Image Denoising
... Our method is also a two-stage approach that includes dictionary learning stage and sparse coding stage, in which dictionary learning stage is different from the TTSP algorithm ...
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