4660 search results - page 125 / 932 » Learning from imperfect data |
ICANN
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
CANDC
2002
ACM
13 years 10 months ago
2002
ACM
We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure
KDD
1995
ACM
14 years 1 months ago
1995
ACM
Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
ICML
2008
IEEE
14 years 11 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
ICML
2008
IEEE
14 years 11 months ago
2008
IEEE
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...