1174 search results - page 95 / 235 » Boosting for transfer learning |
126
Voted
EMNLP
2006
15 years 4 months ago
2006
Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional IE methods, the ...
142
Voted
AAAI
2008
15 years 5 months ago
2008
Multi-category classification of short dialogues is a common task performed by humans. When assigning a question to an expert, a customer service operator tries to classify the cu...
141
Voted
FLAIRS
2007
15 years 5 months ago
2007
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
137
Voted
CVPR
2005
IEEE
16 years 5 months ago
2005
IEEE
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...
124
Voted
IJCAI
2007
15 years 5 months ago
2007
The training of support vector machines (SVM) involves a quadratic programming problem, which is often optimized by a complicated numerical solver. In this paper, we propose a muc...