3449 search results - page 100 / 690 » A Framework for Multiple-Instance Learning |
COLT
1999
Springer
14 years 1 months ago
1999
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
FLAIRS
2006
13 years 10 months ago
2006
In this paper, we propose a novel framework for extractive summarization. Our framework allows the summarizer to adapt and improve itself. Experimental results show that our summa...
CIVR
2006
Springer
14 years 26 days ago
2006
Springer
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
COLT
2008
Springer
13 years 11 months ago
2008
Springer
We study the properties of the agnostic learning framework of Haussler [Hau92] and Kearns, Schapire and Sellie [KSS94]. In particular, we address the question: is there any situat...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Given an image, we propose a hierarchical generative
model that classifies the overall scene, recognizes and segments
each object component, as well as annotates the image
with ...