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» Learning and Inference with Constraints
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ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 6 months ago
Markov logic networks
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...
Matthew Richardson, Pedro Domingos
EMNLP
2009
15 years 4 months ago
Multi-Class Confidence Weighted Algorithms
The recently introduced online confidence-weighted (CW) learning algorithm for binary classification performs well on many binary NLP tasks. However, for multi-class problems CW l...
Koby Crammer, Mark Dredze, Alex Kulesza
ICDE
2007
IEEE
146views Database» more  ICDE 2007»
16 years 8 months ago
Conditional Functional Dependencies for Data Cleaning
We propose a class of constraints, referred to as conditional functional dependencies (CFDs), and study their applications in data cleaning. In contrast to traditional functional ...
Philip Bohannon, Wenfei Fan, Floris Geerts, Xibei ...
CSFW
2010
IEEE
15 years 10 months ago
Constraining Credential Usage in Logic-Based Access Control
—Authorization logics allow concise specification of flexible access-control policies, and are the basis for logic-based access-control systems. In such systems, resource owner...
Lujo Bauer, Limin Jia, Divya Sharma
GIS
2010
ACM
15 years 3 months ago
Time geography inverted: recognizing intentions in space and time
Mobile intention recognition is the problem of inferring a mobile user's intentions from her behavior in geographic space. Such behavior is constrained in space and time. Cur...
Peter Kiefer, Martin Raubal, Christoph Schlieder