756 search results - page 28 / 152 » Adaptive Learning in Machine Summarization |
105
Voted
AAAI
2006
15 years 3 months ago
2006
This paper summarizes our research in the area of semantic tagging at the word and sense levels and sets the ground for a new approach to text-level sentiment annotation using a c...
101
click to vote
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
When the training instances of the target class are heavily outnumbered by non-target training instances, SVMs can be ineffective in determining the class boundary. To remedy this...
108
click to vote
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We describe an adaptation and application of a search-based structured prediction algorithm "Searn" to unsupervised learning problems. We show that it is possible to red...
ALT
2009
Springer
15 years 5 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
ALT
2009
Springer
15 years 11 months ago
2009
Springer
We present a family of adaptive pairwise tournaments that are provably robust against large error fractions when used to determine the largest element in a set. The tournaments use...