98 search results - page 12 / 20 » Learning Relational Features with Backward Random Walks |
101
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ICANN
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
FLAIRS
1998
15 years 2 months ago
1998
Weintroduce a significant improvementfor a relatively newmachine learning methodcalled Transformation-Based Learning. By applying a MonteCarlo strategy to randomly sample from the...
114
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ACL
1994
15 years 2 months ago
1994
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
127
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NAACL
2010
14 years 11 months ago
2010
We present a random-walk-based approach to learning paraphrases from bilingual parallel corpora. The corpora are represented as a graph in which a node corresponds to a phrase, an...
100
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WACV
2007
IEEE
15 years 7 months ago
2007
IEEE
We present a method for the simultaneous detection and segmentation of objects from static images. We employ lowlevel contour features that enable us to learn the coarse object sh...