603 search results - page 16 / 121 » A theory of learning from different domains |
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
CORR
2008
Springer
14 years 10 months ago
2008
Springer
The seabed characterization from sonar images is a very hard task because of the produced data and the unknown environment, even for an human expert. In this work we propose an ori...
TKDE
2010
14 years 8 months ago
2010
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
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IJCAI
2007
14 years 11 months ago
2007
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...