1106 search results - page 205 / 222 » On regularization algorithms in learning theory |
SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
WWW
2004
ACM
15 years 10 months ago
2004
ACM
It is increasingly common for users to interact with the web using a number of different aliases. This trend is a doubleedged sword. On one hand, it is a fundamental building bloc...
SIGIR
2006
ACM
15 years 3 months ago
2006
ACM
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
AIR
2004
14 years 9 months ago
2004
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...