[PDF][PDF] Application of cost-sensitive hybrid-kernel support vector machine (Svm) to sentiment analysis
X WEN, J CHEN, L ZHAO - Int. J. Simul. Syst. Sci. Technol - ijssst.info
Due to the rapid advancements and commercial usage of the World Wide Web, consumer
feedback in the form of subjective comments grows exponentially over various bulletin board …
feedback in the form of subjective comments grows exponentially over various bulletin board …
A cooperative network intrusion detection based on SVMs
W Zhang, X Fang, S Teng, X Fu… - 2011 6th International …, 2011 - ieeexplore.ieee.org
SVM is not as favored for large-scale data training as for Network Intrusion Detection
because the training complexity of SVM is highly dependent on the size of training sample …
because the training complexity of SVM is highly dependent on the size of training sample …
Research status of fault diagnosis based on support vector machine
LM Liu, JW Wang, Y Guo, HS Lin - Applied Mechanics and …, 2014 - Trans Tech Publ
Support vector machine has good learning ability and it is good to perform the structural risk
minimization principle of statistical learning theory and its application in fault diagnosis of the …
minimization principle of statistical learning theory and its application in fault diagnosis of the …
[PDF][PDF] TWO-LEVEL STRUCTURE FOR ANALOG CIRCUIT FAULT DIAGNOSIS USING IMPROVED DAGSVM AS CLASSIFIER.
KE GUO, YI ZHU, YE SAN - Journal of Theoretical & Applied Information …, 2012 - jatit.org
Fault diagnosis of analog circuit is of essential importance for guaranteeing the reliability
and maintainability of electronic systems. Taking into account the requirements and …
and maintainability of electronic systems. Taking into account the requirements and …