Using Iterative Deepening for Probabilistic Logic Inference.
Theofrastos MantadelisRicardo RochaPublished in: PADL (2017)
Keyphrases
- probabilistic logic
- iterative deepening
- probabilistic reasoning
- abductive reasoning
- statistical relational learning
- maximum entropy
- search tree
- probabilistic inference
- memory efficient
- tree search
- evaluation function
- bayesian networks
- depth first search
- search problems
- default reasoning
- belief networks
- heuristic search algorithms
- constraint satisfaction
- first order logic
- search algorithm
- probability theory
- neural network
- search strategies
- mathematical programming
- search methods
- heuristic search
- orders of magnitude
- logic programming
- graphical models
- knowledge representation
- knowledge base