20 search results - page 2 / 4 » Estimating Feature Weights For Distance-Based Classification |
ICPR
2000
IEEE
13 years 10 months ago
2000
IEEE
In some classification tasks, all patterns in a field, such as digits in a ZIP-code image, originate from the same, but unknown, source (writer/print style). The class-conditional...
EMNLP
2009
13 years 4 months ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
ICML
2000
IEEE
14 years 7 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
BMCBI
2010
13 years 6 months ago
2010
Background: Development of high-throughput methods for measuring DNA interactions of transcription factors together with computational advances in short motif inference algorithms...
SIGIR
2008
ACM
13 years 6 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...