595 search results - page 5 / 119 » Learning Patterns in Noisy Data: The AQ Approach |
SOFTWARE
2002
13 years 7 months ago
2002
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
DIS
2004
Springer
14 years 23 days ago
2004
Springer
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
CN
2006
13 years 7 months ago
2006
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
ICDM
2010
IEEE
13 years 4 months ago
2010
IEEE
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
BMCBI
2008
13 years 7 months ago
2008
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...