543 search results - page 30 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
KDD
2009
ACM
14 years 2 months ago
2009
ACM
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
AAAI
2000
13 years 9 months ago
2000
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...