1344 search results - page 79 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
ICML
2008
IEEE
14 years 9 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 9 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...
BMCBI
2010
13 years 6 months ago
2010
Background: The purpose of this manuscript is to provide, based on an extensive analysis of a proteomic data set, suggestions for proper statistical analysis for the discovery of ...
ICIP
2001
IEEE
14 years 10 months ago
2001
IEEE
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
AAAI
2008
13 years 11 months ago
2008
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...