2363 search results - page 355 / 473 » Learning Algorithms for Domain Adaptation |
AAAI
2010
15 years 1 months ago
2010
The results of the latest International Probabilistic Planning Competition (IPPC-2008) indicate that the presence of dead ends, states with no trajectory to the goal, makes MDPs h...
104
Voted
IBERAMIA
2010
Springer
14 years 11 months ago
2010
Springer
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
ECML
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Learning from multi-relational domains has gained increasing attention over the past few years. Inductive logic programming (ILP) systems, which often rely on hill-climbi...
113
Voted
NIPS
2008
15 years 1 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
82
Voted
SIGIR
1998
ACM
15 years 4 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...