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ECML
2004
Springer
14 years 3 months ago
Improving Random Forests
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
Marko Robnik-Sikonja
DATESO
2004
134views Database» more  DATESO 2004»
13 years 11 months ago
Designing Indexing Structure for Discovering Relationships in RDF Graphs
Discovering the complex relationships between entities is one way of benefitting from the Semantic Web. This paper discusses new approaches to implementing -operators into RDF quer...
Stanislav Barton
SODA
1990
ACM
114views Algorithms» more  SODA 1990»
13 years 11 months ago
Finding Steiner Forests in Planar Graphs
Given an unweighted planar graph G together with nets of terminals, our problem is to find a Steiner forest, i.e., vertex-disjoint trees, each of which interconnects all the termin...
Hitoshi Suzuki, Takehiro Akama, Takao Nishizeki
DAGM
2010
Springer
13 years 11 months ago
On-Line Multi-view Forests for Tracking
Abstract. A successful approach to tracking is to on-line learn discriminative classifiers for the target objects. Although these trackingby-detection approaches are usually fast a...
Christian Leistner, Martin Godec, Amir Saffari, Ho...
ACL
2010
13 years 7 months ago
Constituency to Dependency Translation with Forests
Tree-to-string systems (and their forestbased extensions) have gained steady popularity thanks to their simplicity and efficiency, but there is a major limitation: they are unable...
Haitao Mi, Qun Liu