72 search results - page 3 / 15 » Learning Top-k Transformation Rules |
ICPR
2000
IEEE
15 years 1 months ago
2000
IEEE
This paper presents a character segmentation algorithm for unconstrained cursive handwritten text. The transformation-based learning method and a simplified variation of it are us...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
79
Voted
NAACL
1994
14 years 10 months ago
1994
Most recent research in trainable part of speech taggers has explored stochastic tagging. While these taggers obtain high accuracy, linguistic information is captured indirectly, ...
69
Voted
COGSCI
2004
14 years 9 months ago
2004
The dominant theory of what people can learn implicitly is that they learn chunks of adjacent elements in sequences. A type of musical grammar that goes beyond specifying allowabl...
ACL
2008
14 years 11 months ago
2008
Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of decision trees (DT) and Transformation Based Learning (TBL). In thi...