Optimal Boundary SVM Incremental Learning Algorithm
نویسندگان
چکیده
منابع مشابه
Fast Incremental SVM Learning Algorithm based on Center Convex Vector
A fast SVM learning algorithm is proposed according to incremental learning and center convex hull operator. It is established on analyzing the relevance of support vector and convex hull from the angle of calculation geometry. The convex hull of current training samples is solved in the first place. Further, Euclidean distance elimination is applied to convex hull. Meanwhile, every time when t...
متن کاملSVM Incremental Learning, Adaptation and Optimization
The objective of machine learning is to identify a model that yields good generalization performance. This involves repeatedly selecting a hypothesis class, searching the hypothesis class by minimizing a given objective function over the model’s parameter space, and evaluating the generalization performance of the resulting model. This search can be computationally intensive as training data co...
متن کاملSVM-based CDMA receiver with incremental active learning
Recently, the feasibility of using support vector machines (SVMs) for multiuser detection in code division multiple access (CDMA) systems has been investigated. Previous results show that SVMs perform well with short training sequences but suffer from two drawbacks that are highly undesirable in real-time applications: the run-time complexity and the block-based learning. To deal with these pro...
متن کاملIncremental Learning with SVM for Multimodal Classification of Prostatic Adenocarcinoma
Robust detection of prostatic cancer is a challenge due to the multitude of variants and their representation in MR images. We propose a pattern recognition system with an incremental learning ensemble algorithm using support vector machines (SVM) tackling this problem employing multimodal MR images and a texture-based information strategy. The proposed system integrates anatomic, texture, and ...
متن کاملAdaptive Sketchy Shape Recognition Based on SVM Incremental Learning
This paper presents a strategy of adaptive online sketchy shape recognition. The inputting sketchy shapes are recognized online by means of a modified Support Vector Machine (SVM) incremental learning classifier. All classified results evaluated by user are collected and some important samples are selected according to their distances to the hyper-plane of the SVM-classifier. The classifier can...
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: Applied Mechanics and Materials
سال: 2013
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.347-350.2957