Alternative Strategies in Learning Nonlinear Soft Margin Support Vector Machines

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Adaptive Margin Support Vector Machines

In this chapter we present a new learning algorithm, Leave{One{Out (LOO{) SVMs and its generalization Adaptive Margin (AM{) SVMs, inspired by a recent upper bound on the leave{one{out error proved for kernel classiiers by Jaakkola and Haussler. The new approach minimizes the expression given by the bound in an attempt to minimize the leave{one{out error. This gives a convex optimization problem...

متن کامل

Adaptive Margin Support Vector Machines for Classi

In this paper we propose a new learning algorithm for classiication learning based on the Support Vector Machine (SVM) approach. Existing approaches for constructing SVMs 12] are based on minimization of a regularized margin loss where the margin is treated equivalently for each training pattern. We propose a reformulation of the minimization problem such that adaptive margins for each training...

متن کامل

On Margin and Support Vector Separability in Support Vector Machines for Regression on Margin and Support Vector Separability in Support Vector Machines for Regression

In this report we show some simple properties of SVM for regression. In particular we show that for close to zero, minimizing the norm of w is equivalent to maximizing the distance between the optimal approximating hyperplane solution of SVMR and the closest points in the data set. So, in this case, there exists a complete analogy between SVM for regression and classiication, and the-tube plays...

متن کامل

A QUADRATIC MARGIN-BASED MODEL FOR WEIGHTING FUZZY CLASSIFICATION RULES INSPIRED BY SUPPORT VECTOR MACHINES

Recently, tuning the weights of the rules in Fuzzy Rule-Base Classification Systems is researched in order to improve the accuracy of classification. In this paper, a margin-based optimization model, inspired by Support Vector Machine classifiers, is proposed to compute these fuzzy rule weights. This approach not only  considers both accuracy and generalization criteria in a single objective fu...

متن کامل

A Comparative Study of Extreme Learning Machines and Support Vector Machines in Prediction of Sediment Transport in Open Channels

The limiting velocity in open channels to prevent long-term sedimentation is predicted in this paper using a powerful soft computing technique known as Extreme Learning Machines (ELM). The ELM is a single Layer Feed-forward Neural Network (SLFNN) with a high level of training speed. The dimensionless parameter of limiting velocity which is known as the densimetric Froude number (Fr) is predicte...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Informatica Economica

سال: 2014

ISSN: 1453-1305,1842-8088

DOI: 10.12948/issn14531305/18.2.2014.05