3416 search results - page 13 / 684 » Can Machines Learn Logics |
JMLR
2010
13 years 5 months ago
2010
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
IJCNN
2007
IEEE
14 years 4 months ago
2007
IEEE
— In this article, we apply the competitive associative net called CAN2 to the processing of the range data of indoor environment acquired by a mobile robot, where the CAN2 is a ...
ECML
2006
Springer
14 years 2 months ago
2006
Springer
We describe a reinforcement learning system that transfers skills from a previously learned source task to a related target task. The system uses inductive logic programming to ana...
COLT
2006
Springer
14 years 11 days ago
2006
Springer
There are two main families of on-line algorithms depending on whether a relative entropy or a squared Euclidean distance is used as a regularizer. The difference between the two f...
ECML
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...