208 search results - page 5 / 42 » Active Learning on Trees and Graphs |
ECML
2006
Springer
14 years 1 months ago
2006
Springer
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
GCB
2009
Springer
14 years 1 months ago
2009
Springer
Abstract: Graphs are often used to describe and analyze the geometry and physicochemical composition of biomolecular structures, such as chemical compounds and protein active sites...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
COMBINATORICA
2010
13 years 7 months ago
2010
In this paper, we propose a simple and natural randomized algorithm to embed a tree T in a given graph G. The algorithm can be viewed as a "self-avoiding tree-indexed random ...
PSIVT
2007
Springer
14 years 4 months ago
2007
Springer
In this article a robust and real-time hand gesture detection and recognition system for dynamic environments is proposed. The system is based on the use of boosted classifiers for...