15 search results - page 1 / 3 » Shift-Pessimistic Active Learning Using Robust Bias-Aware Pr... |
ACL
2011
12 years 8 months ago
2011
We present a pointwise approach to Japanese morphological analysis (MA) that ignores structure information during learning and tagging. Despite the lack of structure, it is able t...
UAI
2004
13 years 6 months ago
2004
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
JMLR
2006
13 years 4 months ago
2006
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
SIGIR
2012
ACM
11 years 7 months ago
2012
ACM
Methods that reduce the amount of labeled data needed for training have focused more on selecting which documents to label than on which queries should be labeled. One exception t...