77 search results - page 12 / 16 » The Hausdorff Distance Measure for Feature Selection in Lear... |
EDBT
2004
ACM
14 years 7 months ago
2004
ACM
Structured and semi-structured object representations are getting more and more important for modern database applications. Examples for such data are hierarchical structures inclu...
MM
2004
ACM
14 years 23 days ago
2004
ACM
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We present a method to find the exact maximal margin hyperplane for linear Support Vector Machines when a new (existing) component is added (removed) to (from) the inner...
ALMOB
2007
13 years 7 months ago
2007
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...