58 search results - page 5 / 12 » Feature Selection and Dualities in Maximum Entropy Discrimin... |
ACL
2006
13 years 9 months ago
2006
Recent developments in statistical modeling of various linguistic phenomena have shown that additional features give consistent performance improvements. Quite often, improvements...
NIPS
2000
13 years 9 months ago
2000
Modern classification applications necessitate supplementing the few available labeled examples with unlabeled examples to improve classification performance. We present a new tra...
COLING
2008
13 years 9 months ago
2008
This paper presents a discriminative alignment model for extracting abbreviations and their full forms appearing in actual text. The task of abbreviation recognition is formalized...
ICML
2004
IEEE
14 years 1 months ago
2004
IEEE
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...