In order to solve the problem of artificial text classification, text mining on the Web text classification studied in the proposed SVM model using Web text classification, and introduces a new kernel function, effectively reducing the classification of surface complexity, improve the classification ...
Supportvectormachineactivelearningwithapplicationstotextclassification 系统标签: learningactivevectortextmachinesupport JournalofMachineLearningResearch(2001)45-66Submitted10/01;Published11/01 SupportVectorMachineActiveLearning withApplicationstoTextClassification SimonTongsimon.tong@cs.stanford.edu DaphneKollerkoller@...
SVMs were developed in the 1990s by Vladimir N. Vapnik and his colleagues, and they published this work in a paper titled "Support Vector Method for Function Approximation, Regression Estimation, and Signal Processing"1in 1995. SVMs are commonly used within classification problems. They distinguish ...
Classification LearnerTrain models to classify data using supervised machine learning Blocks ClassificationSVM PredictClassify observations using support vector machine (SVM) classifier for one-class and binary classification(Since R2020b) ClassificationECOC PredictClassify observations using error-correcting output...
We compared a support vector machine (SVM) with a back propagation neural network (BPNN) for the task of text classification of XiangShan science conferenc... Z Wen,X Tang,T Yoshida - DBLP 被引量: 17发表: 2007年 FACE RECOGNITION USING EIGENFACE AND SUPPORT VECTOR MACHINE In this study the...
Text Classification, or the task of automatically assigning semantic categories to natural language text, has become one of the key methods for organizing online information. Since hand-coding classification rules is costly or even impractical, most modern approaches employ machine learning techniques to...
Support Vector Machine Active Learning with Application sto Text Classification Tong, S., Koller, D.: Support vector machine active learning with application sto text classification. In: ICML (2000)S. Tong and D. Koller. Support... S Tong,D Koller 被引量: 0发表: 2000年 Active Learning with...
To tackle the inefficiencies and low precision in the classification of medical text data, in this paper, we presented a new classification method with improved convolutional neural network (CNN) and support vector machine (SVM), i.e., CNN-SVM method. In the method, some convolution kernel ...
We describe Support Vector Machine (SVM) applications to classification and clustering of channel current data. SVMs are variational-calculus based methods that are constrained to have structural risk minimization (SRM), i.e., they provide noise tolerant solutions for pattern recognition. The SVM appr...
Support vector machines (SVM) have been very successful in pattern recognition and function estimation problems, but in the support vector machines for classification, the training example is non-fuzzy input and output is y = ±1; In this paper, we introduce the support vector machine which the...