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Structural Consistency: A New Filtering Approach for Constraint Networks,ncy is based on a new approach. While conventional consistencies generally rely on local properties extended to the entire network, this new partial consistency considers global consistency on subproblems. These subproblems are defined by partial constraint graphs whose tree-width is bounded by a co

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癡呆

似少年

Learning Bayes Nets for Relational Data with Link Uncertainty,rrelations are represented in a Bayes net structure. This provides a succinct graphical way to display relational statistical patterns and support powerful probabilistic inferences. The current state of the art algorithm for learning relational Bayes nets captures only correlations among entity attr

META

Concurrent Reasoning with Inference Graphs,lable. Knowledge representation systems using logical inference have been slow to embrace this new technology. We present the concept of inference graphs, a natural deduction inference system which scales well on multi-core and multi-processor machines. Inference graphs enhance propositional graphs

Kernel

Formal Concept Analysis over Graphs and Hypergraphs,d attributes (or properties) under consideration. In this paper I propose a generalization of formal concept analysis based on binary relations between hypergraphs, and more generally between pre-orders. A binary relation between any two sets already provides a bipartite graph, and this is a well-kn

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原來

https://doi.org/10.1007/978-3-642-72392-6dge for cheese making. In this extension, we propose to use default rules to represent specific pieces of knowledge. We use the CoGui software to manage conceptual graphs in the application from the CTFC data expressed in Freeplan. A specific end user interface has been designed on top of CoGui to e

Champion

Milestones in Analog and Digital Computingertain way. In such a situation, the persuading argument can be seen to have a positive utility. However, arguments can also have a negative utility — uttering the argument could reveal sensitive information, or prevent the information from being used as a bargaining chip in the future. Previous wor