… (Genetic Algorithm) and SVM (Support Vector Machine) for … re-generated to replace the old
one. During the genetic process, … Comparison of the proposed GA-SVM method with classical …

… analyzes the difficulties and challenges of lip reading research. … The above comparison
examples all use the same video … , 利用支持向量机(Support vector machine, SVM),模板匹配,最大…

… is that SVM is surely an excellent and mature classification … classification tasks confirm the
feasibility and effectiveness of our new integrated structure. Though so, in comparison to SVM, …

… classification algorithms, compares the differences between the algorithms, and applies
quantum support vector machines … data classification technology [8], and it is relatively mature in …

… This paper gives a comparative study on different techniques … an input to the trained classifier
like SVM and ANN. Trained … approach was used in older Devanagari character recognition. …

… by support vector machine(SVM). In this paper,a new feature … multiple and mature,but the
background classification still has not … At the same time,it is also compared with some common …

… in machine learning for classification and regression tasks. A … been compared with an
automated SVM machine learning … learning techniques compared to canonical techniques. …

… to address some of the challenges … algorithms since SVM is robust in comparison to linear
regression, handles multiple features, does not overfit, and performs very well in classifying …

… to human machine interface, cognition and text mining. … Compared to the simple technique
of detection and location of … these data represent, by using SVM. Even though only face …

… compare the prediction performance with logistic regression (LR) and support vector machine
(SVM… each node to determine the best split threshold, but a random subset of the original …