340 search results - page 11 / 68 » Classifying Relational Data with Neural Networks |
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
APIN
2004
13 years 9 months ago
2004
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
ICDAR
2007
IEEE
14 years 1 months ago
2007
IEEE
This paper presents a novel method for the classification of images that combines information extracted from the images and contextual information. The main hypothesis is that con...
ASIAMS
2008
IEEE
14 years 4 months ago
2008
IEEE
Efficiency is one of the major issues in intrusion detection. Inefficiency is often attributed to high overhead and this is caused by several reasons. Among them are continuous de...
CEC
2010
IEEE
13 years 11 months ago
2010
IEEE
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...