208 search results - page 8 / 42 » Active Learning on Trees and Graphs |
CVPR
2008
IEEE
14 years 12 months ago
2008
IEEE
Systematic content screening of cell phenotypes in microscopic images has been shown promising in gene function understanding and drug design. However, manual annotation of cells ...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
We introduce a novel graph kernel called the Neighborhood Subgraph Pairwise Distance Kernel. The kernel decomposes a graph into all pairs of neighborhood subgraphs of small radius...
JAIR
2006
13 years 9 months ago
2006
Active learners alleviate the burden of labeling large amounts of data by detecting and asking the user to label only the most informative examples in the domain. We focus here on...
INTERSPEECH
2010
13 years 4 months ago
2010
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
CIBCB
2009
IEEE
13 years 11 months ago
2009
IEEE
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...