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» ProbLog Technology for Inference in a Probabilistic First Or...
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UAI
2008
13 years 7 months ago
Sampling First Order Logical Particles
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
Hannaneh Hajishirzi, Eyal Amir
EGOV
2010
Springer
13 years 7 months ago
From Policy-Making Statements to First-Order Logic
Within a framework for enriched on-line discussion forums for e-government policy-making, pro and con statements for positions are input, structurally related, then logically repre...
Adam Wyner, Tom M. van Engers, Kiavash Bahreini
IDA
2005
Springer
13 years 11 months ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach
CORR
2011
Springer
199views Education» more  CORR 2011»
13 years 1 months ago
From Machine Learning to Machine Reasoning
A plausible definition of "reasoning" could be "algebraically manipulating previously acquired knowledge in order to answer a new question". This definition co...
Léon Bottou
AAAI
2008
13 years 8 months ago
A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC
Many real-world problems are characterized by complex relational structure, which can be succinctly represented in firstorder logic. However, many relational inference algorithms ...
Hoifung Poon, Pedro Domingos, Marc Sumner