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» Lifted generative learning of Markov logic networks
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DAC
2003
ACM
15 years 10 months ago
Coverage directed test generation for functional verification using bayesian networks
Functional verification is widely acknowledged as the bottleneck in the hardware design cycle. This paper addresses one of the main challenges of simulation based verification (or...
Shai Fine, Avi Ziv
EDM
2010
165views Data Mining» more  EDM 2010»
14 years 11 months ago
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems
A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
John C. Stamper, Tiffany Barnes, Marvin J. Croy
COLING
2008
14 years 11 months ago
An Integrated Probabilistic and Logic Approach to Encyclopedia Relation Extraction with Multiple Features
We propose a new integrated approach based on Markov logic networks (MLNs), an effective combination of probabilistic graphical models and firstorder logic for statistical relatio...
Xiaofeng Yu, Wai Lam
AAAI
2006
14 years 11 months ago
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
Hoifung Poon, Pedro Domingos
SLOGICA
2008
120views more  SLOGICA 2008»
14 years 9 months ago
Emergence of Information Transfer by Inductive Learning
We study a simple game theoretic model of information transfer which we consider to be a baseline model for capturing strategic aspects of epistemological questions. In particular,...
Simon M. Huttegger, Brian Skyrms