213 search results - page 17 / 43 » Experiments with Learning Parsing Heuristics |
59
Voted
LREC
2008
14 years 11 months ago
2008
This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which lar...
ML
2006
ACM
14 years 9 months ago
2006
ACM
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
AI
1999
Springer
14 years 9 months ago
1999
Springer
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
141
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GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there ma...