1174 search results - page 21 / 235 » Boosting for transfer learning |
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AGI
2008
14 years 11 months ago
2008
In order to claim fully general intelligence in an autonomous agent, the ability to learn is one of the most central capabilities. Classical machine learning techniques have had ma...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose ”online boosting” algorithms where weak classifier sets...
EPIA
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. When a robot learns to solve a goal-directed navigation task with reinforcement learning, the acquired strategy can usually exclusively be applied to the task that has be...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
This paper points out that many machine learning problems in IR should be and can be formalized in a novel way, referred to as `group-based learning'. In group-based learning...