Name
Title | ||
|---|---|---|
An incremental algorithm about the affinity-rule based transductive learning machine for semi-supervised problem |
Abstract | ||
|---|---|---|
One of the central problems in machine learning is how to effectively combine unlabelled and labelled data to infer the labels of unlabelled ones. In recent years, there has a growing interest on the transduction method. In this article, the transductive learning machines are described based on a so-called affinity rule which comes from the intuitive fact that if two objects are close in input space then their outputs should also be close, to obtain the solution of semi-supervised learning problem. By using the analytic solution for this problem, an incremental learning algorithm adapting to on-line data processing is derived. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/0-387-23152-8_62 | Intelligent Information Processing |
Keywords | Field | DocType |
semi-supervised problem,on-line data processing,incremental algorithm,input space,central problem,labelled data,semi-supervised learning problem,machine learning,analytic solution,intuitive fact,recent year,algorithm adapting,transductive learning,data processing,semi supervised learning,support vector machines,support vector machine,rule based | Transduction (machine learning),Online machine learning,Stability (learning theory),Semi-supervised learning,Instance-based learning,Active learning (machine learning),Computer science,Unsupervised learning,Artificial intelligence,Machine learning,Learning classifier system | Conference |
Volume | ISSN | ISBN |
163 | 1571-5736 | 0-387-23151-X |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weijiang Long | 1 | 6 | 1.20 |
| Feng-feng Zhu | 2 | 26 | 4.59 |
| Wen-xiu Zhang | 3 | 3187 | 116.92 |