237 search results - page 33 / 48 » Incremental Learning in Inductive Programming |
SEMWEB
2009
Springer
14 years 1 months ago
2009
Springer
Probabilistic Description Logics are the basis of ontologies in the Semantic Web. Knowledge representation and reasoning for these logics have been extensively explored in the last...
ECML
2006
Springer
13 years 10 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...
ML
2006
ACM
13 years 6 months ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
ICMLA
2007
13 years 8 months ago
2007
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
ICIC
2007
Springer
14 years 27 days ago
2007
Springer
We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This appr...