Sciweavers

4660 search results - page 609 / 932
» Learning from imperfect data
Sort
View
98
Voted
ACMIDC
2010
15 years 4 months ago
Digital inclusion in Chilean in rural schools
This paper analyzes conditions for improving digital inclusion in Chilean rural schools, using a multidimensional definition of digital divide. Using qualitative and quantitative ...
Jaime Sánchez
91
Voted
AUSAI
2008
Springer
15 years 2 months ago
Discriminating Against New Classes: One-class versus Multi-class Classification
Many applications require the ability to identify data that is anomalous with respect to a target group of observations, in the sense of belonging to a new, previously unseen `atta...
Kathryn Hempstalk, Eibe Frank
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 2 months ago
A RELIEF Based Feature Extraction Algorithm
RELIEF is considered one of the most successful algorithms for assessing the quality of features due to its simplicity and effectiveness. It has been recently proved that RELIEF i...
Yijun Sun, Dapeng Wu
107
Voted
ACSW
2004
15 years 2 months ago
Early Assessment of Classification Performance
The ability to distinguish between objects is the fundamental to learning and intelligent behavior in general. The difference between two things is the information we seek; the pr...
Bostjan Brumen, Izidor Golob, Hannu Jaakkola, Tatj...
101
Voted
NAACL
2004
15 years 2 months ago
Name Tagging with Word Clusters and Discriminative Training
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
Scott Miller, Jethran Guinness, Alex Zamanian