237 search results - page 39 / 48 » Incremental Learning in Inductive Programming |
SEMWEB
2004
Springer
14 years 2 days ago
2004
Springer
We argue that in a distributed context, such as the Semantic Web, ontology engineers and data creators often cannot control (or even imagine) the possible uses their data or ontolo...
EPIA
2009
Springer
14 years 1 months ago
2009
Springer
Inductive Logic Programming (ILP) [1] systems are general purpose learners that have had significant success on solving a number of relational problems, particularly from the biol...
ILP
2007
Springer
14 years 26 days ago
2007
Springer
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
AIMSA
2008
Springer
14 years 1 months ago
2008
Springer
Relational instance-based learning (RIBL) algorithms offer high prediction capabilities. However, they do not scale up well, specially in domains where there is a time bound for c...
ILP
2007
Springer
14 years 26 days ago
2007
Springer
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...