Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases.
Christoph BeierleNico PotykaJosef BaudischMarc FinthammerPublished in: ECSQARU (2015)
Keyphrases
- maximum entropy
- probabilistic relational
- principle of maximum entropy
- knowledge base
- first order logic
- markov models
- maximum entropy principle
- transformation based learning
- probabilistic logic
- description logics
- maximum entropy model
- knowledge representation
- conditional random fields
- logic programming
- minimum cross entropy
- global optimization
- machine learning
- bregman divergences
- deterministic annealing
- model selection
- iterative scaling
- default reasoning from conditional knowledge bases