26 search results - page 2 / 6 » Incremental Learning of Relational Action Rules |
IEAAIE
2004
Springer
13 years 11 months ago
2004
Springer
This work presents the application of a first-order logic incremental learning system, INTHELEX, to learn rules for the automatic identification of a wide range of significant docu...
JAIR
2010
13 years 4 months ago
2010
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
KESAMSTA
2009
Springer
14 years 9 days ago
2009
Springer
Abstract. Imitative learning can be considered an essential task of humans development. People use instructions and demonstrations provided by other human experts to acquire knowle...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
NECO
2006
2006
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning
13 years 5 months ago
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimi...