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AAAI
2011
12 years 4 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
WEBI
2010
Springer
13 years 2 months ago
Relations Expansion: Extracting Relationship Instances from the Web
In this paper, we propose a Relation Expansion framework, which uses a few seed sentences marked up with two entities to expand a set of sentences containing target relations. Duri...
Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
ISMVL
2000
IEEE
81views Hardware» more  ISMVL 2000»
13 years 9 months ago
Propagation Algorithm of Behavior Probability in Power Estimation Based on Multiple-Valued Logic
— This paper analyses the propagation operations of signal’s multiple-valued behavior while passing through the basic gates. Based on it the propagation algorithm of behavior p...
Xunwei Wu, Massoud Pedram
SBACPAD
2003
IEEE
103views Hardware» more  SBACPAD 2003»
13 years 9 months ago
Performance Analysis Issues for Parallel Implementations of Propagation Algorithm
This paper presents a theoretical study to evaluate the performance of a family of parallel implementations of the propagation algorithm. The propagation algorithm is used to an i...
Leonardo Brenner, Luiz Gustavo Fernandes, Paulo Fe...
CSCLP
2005
Springer
13 years 10 months ago
Among, Common and Disjoint Constraints
Abstract. Among, Common and Disjoint are global constraints useful in modelling problems involving resources. We study a number of variations of these constraints over integer and ...
Christian Bessière, Emmanuel Hebrard, Brahi...
PACT
2005
Springer
13 years 10 months ago
A Parallel Version for the Propagation Algorithm
This paper presents a parallel version for the Propagation Algorithm which belongs to the region growing family of algorithms. The main goal of our implementation is to decrease de...
Márcio Bastos Castro, Lucas Baldo, Luiz Gus...