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» Toward Markov Logic with Conditional Probabilities
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FLAIRS
2008
13 years 6 months ago
Toward Markov Logic with Conditional Probabilities
Combining probability and first-order logic has been the subject of intensive research during the last ten years. The most well-known formalisms combining probability and some sub...
Jens Fisseler
AAAI
2011
12 years 4 months ago
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation
Inspired by “GoogleTM Sets” and Bayesian sets, we consider the problem of retrieving complex objects and relations among them, i.e., ground atoms from a logical concept, given...
Marion Neumann, Babak Ahmadi, Kristian Kersting
IJAR
2010
91views more  IJAR 2010»
13 years 3 months ago
Logical and algorithmic properties of stable conditional independence
The logical and algorithmic properties of stable conditional independence (CI) as an alternative structural representation of conditional independence information are investigated...
Mathias Niepert, Dirk Van Gucht, Marc Gyssens
ICMLA
2009
13 years 2 months ago
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
KR
1994
Springer
13 years 8 months ago
Toward a Logic for Qualitative Decision Theory
We present a logic for representing and reasoning with qualitative statements of preference and normality and describe how these may interact in decision making under uncertainty....
Craig Boutilier