1174 search results - page 25 / 235 » Boosting for transfer learning |
74
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ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We introduce the use of learned shaping rewards in reinforcement learning tasks, where an agent uses prior experience on a sequence of tasks to learn a portable predictor that est...
IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
106
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ICMLA
2009
14 years 7 months ago
2009
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
IJCAI
2003
14 years 11 months ago
2003
In this paper we propose the framework of Monte Carlo algorithms as a useful one to analyze ensemble learning. In particular, this framework allows one to guess when bagging will ...
SIGIR
1998
ACM
15 years 2 months ago
1998
ACM
We discuss two learning algorithms for text filtering: modified Rocchio and a boosting algorithm called AdaBoost. We show how both algorithms can be adapted to maximize any gene...