Sciweavers

1837 search results - page 31 / 368
» Learning From Ambiguous Examples
Sort
View
FLAIRS
2007
15 years 2 months ago
A Distance-Based Over-Sampling Method for Learning from Imbalanced Data Sets
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
Jorge de la Calleja, Olac Fuentes
JAIR
2008
118views more  JAIR 2008»
14 years 11 months ago
On the Use of Automatically Acquired Examples for All-Nouns Word Sense Disambiguation
This article focuses on Word Sense Disambiguation (WSD), which is a Natural Language Processing task that is thought to be important for many Language Technology applications, suc...
David Martínez, Oier Lopez de Lacalle, Enek...
WWW
2004
ACM
16 years 14 days ago
Dealing with different distributions in learning from
In the problem of learning with positive and unlabeled examples, existing research all assumes that positive examples P and the hidden positive examples in the unlabeled set U are...
Xiaoli Li, Bing Liu
SIGUCCS
2003
ACM
15 years 5 months ago
Teaching with technology, setting an example
Providing instructional technology support for faculty requires a range of skills, from knowledge of software and hardware, to an ability to communicate, teach workshops, and rela...
Trevor Murphy, Mika Hirai
AIED
2009
Springer
15 years 6 months ago
Collaborative Dialog While Studying Worked-out Examples
Self-explaining is a beneficial learning strategy for studying worked-out examples because it either supplies missing information through the generation of inferences or because it...
Robert G. M. Hausmann, Timothy J. Nokes, Kurt VanL...