Support Vector Machines (SVMs) versus Multilayer Perception (MLP) in data classification
نویسندگان
چکیده
منابع مشابه
Data Classification using Support Vector Machines
Classifying data is a common task in machine learning. In machine learning, statistical classification is the problem of identifying the sub-population to which new observations belong on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics. In machine learning,...
متن کاملAccurate support vector machines for data classification
In this paper, a new kernel function is introduced that improves the classification accuracy of support vector machines (SVMs) for both linear and non-linear data sets. The proposed kernel function, called Gauss radial basis polynomial function (RBPF) combine both Gauss radial basis function (RBF) and polynomial (POLY) kernels. It is shown that the proposed kernel converges faster than the RBF ...
متن کاملLinear Classification of data with Support Vector Machines and Generalized Support Vector Machines
——————————————————————————————– Abstract: In this paper, we study the support vector machine and introduced the notion of generalized support vector machine for classification of data. We show that the problem of generalized support vector machine is equivalent to the problem of generalized variational inequality and establish various results for the existence of solutions. Moreover, we provide...
متن کاملSupport Vector Machines versus Boosting
Support Vector Machines (SVMs) and Adaptive Boosting (AdaBoost) are two successful classification methods. They are essentially the same as they both try to maximize the minimal margin on a training set. In this work, we present an even platform to compare these two learning algorithms in terms of their test error, margin distribution and generalization power. Two basic models of polynomials an...
متن کاملAn Improvement in Support Vector Machines Algorithm with Imperialism Competitive Algorithm for Text Documents Classification
Due to the exponential growth of electronic texts, their organization and management requires a tool to provide information and data in search of users in the shortest possible time. Thus, classification methods have become very important in recent years. In natural language processing and especially text processing, one of the most basic tasks is automatic text classification. Moreover, text ...
متن کاملذخیره 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: Egyptian Informatics Journal
سال: 2012
ISSN: 1110-8665
DOI: 10.1016/j.eij.2012.08.002