Research on Amplifier Performance Evaluation Based onδ-Support Vector Regression
نویسندگان
چکیده
منابع مشابه
Regression Based on Support Vector Classification
In this article, we propose a novel regression method which is based solely on Support Vector Classification. The experiments show that the new method has comparable or better generalization performance than ε-insensitive Support Vector Regression. The tests were performed on synthetic data, on various publicly available regression data sets, and on stock price data. Furthermore, we demonstrate...
متن کاملSupport vector regression based on data shifting
In this article, we provide some preliminary theoretical analysis and extended practical experiments of a novel regression method proposed recently which is based on representing regression problems as classification ones with duplicated and shifted data. The main results regard partial equivalency of Bayes solutions for regression problems and the transformed classification ones, and improved ...
متن کاملImage Denoising Based on Wavelet Support Vector Regression
In this paper, a new image denoising method based on wavelet analysis and support vector machine regression (SVR) is presented. The feasibility of image denoising via support vector regression is discussed and an illustrative example is given. The wavelet kernel is proposed to construct wavelet support vector machine (WSVM). The result of experiment shows that the denoising method based on WSVM...
متن کاملImage Jacobian Matrix Estimation Based on Online Support Vector Regression
Research into robotics visual servoing is an important area in the field of robotics. It has proven difficult to achieve successful results for machine vision and robotics in unstructured environments without using any a priori camera or kinematic models. In uncalibrated visual servoing, image Jacobian matrix estimation methods can be divided into two groups: the...
متن کاملSupport Vector Machine Regression Algorithm Based on Chunking Incremental Learning
On the basis of least squares support vector machine regression (LSSVR), an adaptive and iterative support vector machine regression algorithm based on chunking incremental learning (CISVR) is presented in this paper. CISVR is an iterative algorithm and the samples are added to the working set in batches. The inverse of the matrix of coefficients from previous iteration is used to calculate the...
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: Abstract and Applied Analysis
سال: 2014
ISSN: 1085-3375,1687-0409
DOI: 10.1155/2014/574547