215 citations
- Microsoft (United States)US17 papers
- University of CambridgeGB7 papers
- Massachusetts Institute of TechnologyUS6 papers
- University of California, BerkeleyUS6 papers
- Tel Aviv UniversityIL5 papers
- Johns Hopkins UniversityUS4 papers
- Microsoft Research New England (United States)US4 papers
- University of ChicagoUS4 papers
- University of WashingtonUS4 papers
- Cornell UniversityUS3 papers
- Stanford UniversityUS3 papers
- Technion – Israel Institute of TechnologyIL3 papers
Showing 2012 · cs.AIShow all
2 papers · 2 filters
cs.AI2012★ 3 cited
Compiling Relational Database Schemata into Probabilistic Graphical Models
Sameer Singh, Thore Graepel
Instead of requiring a domain expert to specify the probabilistic dependencies of the data, in this work we present an approach that uses the relational DB schema to automatically…
cs.AI2012★ 16 cited
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts
Chris Russell, L'ubor Ladicky, Pushmeet Kohli +1
Markov Networks are widely used through out computer vision and machine learning. An important subclass are the Associative Markov Networks which are used in a wide variety of appl…