Sciweavers

60 search results - page 1 / 12
» A Mapping Between Classifiers and Training Conditions for WS...
Sort
View
89
Voted
CICLING
2005
Springer
15 years 6 months ago
A Mapping Between Classifiers and Training Conditions for WSD
This paper studies performance of various classifiers for Word Sense Disambiguation considering different training conditions. Our preliminary results indicate that the number and ...
Aarón Pancardo-Rodríguez, Manuel Mon...
101
Voted
LREC
2010
176views Education» more  LREC 2010»
15 years 2 months ago
There's no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
In the paper we investigate the impact of data size on a Word Sense Disambiguation task (WSD). We question the assumption that the knowledge acquisition bottleneck, which is known...
Ines Rehbein, Josef Ruppenhofer
96
Voted
ESANN
2004
15 years 2 months ago
Visual person tracking with a Supervised Conditioning-SOM
The classification problem of determining if a surveillance camera sees persons is tackled with two neural models: the Self-Organizing Map (SOM) with supervision as in a classical ...
J. David Buldain Pérez, José El&iacu...
102
Voted
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
16 years 1 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
120
Voted
ICPR
2006
IEEE
16 years 2 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum