1209 search results - page 76 / 242 » Semi-Supervised Learning with Trees |
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its int...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat al...
AAAI
2007
13 years 10 months ago
2007
We present a novel approach to recognizing Textual nt. Structural features are constructed from abstract tree descriptions, which are automatically extracted from syntactic depend...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
We propose an omnivariate decision tree architecture which contains univariate, multivariate linear or nonlinear nodes, matching the complexity of the node to the complexity of the...
ACL
2009
13 years 5 months ago
2009
Current tree-to-tree models suffer from parsing errors as they usually use only 1best parses for rule extraction and decoding. We instead propose a forest-based tree-to-tree model...