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ML
2007
ACM
130views Machine Learning» more  ML 2007»
14 years 9 months ago
Interactive learning of node selecting tree transducer
We develop new algorithms for learning monadic node selection queries in unranked trees from annotated examples, and apply them to visually interactive Web information extraction. ...
Julien Carme, Rémi Gilleron, Aurélie...
ICML
2004
IEEE
15 years 10 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
ICAT
2003
IEEE
15 years 2 months ago
Interactive 3-D Visualization of Real Forests
Forest resource management systems and forest landscape visualization applications often need usersteered interactive displays of a forest landscape representing the underlying fo...
Qizhi Yu, Chongcheng Chen, Zhigeng Pan, Tianhe Chi
ICPR
2006
IEEE
15 years 10 months ago
A Higher-Order Active Contour Model for Tree Detection
We present a model of a `gas of circles', the ensemble of regions in the image domain consisting of an unknown number of circles with approximately fixed radius and short ran...
Peter Horvath, Ian Jermyn, Zoltan Kato, and Josian...
AI
2006
Springer
15 years 1 months ago
Modeling Causal Reinforcement and Undermining with Noisy-AND Trees
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...
Y. Xiang, N. Jia