Titlebook: ;

Reagan

書目名稱Graph Structures for Knowledge Representation and Reasoning影響因子(影響力)




書目名稱Graph Structures for Knowledge Representation and Reasoning影響因子(影響力)學(xué)科排名




書目名稱Graph Structures for Knowledge Representation and Reasoning網(wǎng)絡(luò)公開度




書目名稱Graph Structures for Knowledge Representation and Reasoning網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Graph Structures for Knowledge Representation and Reasoning被引頻次




書目名稱Graph Structures for Knowledge Representation and Reasoning被引頻次學(xué)科排名




書目名稱Graph Structures for Knowledge Representation and Reasoning年度引用




書目名稱Graph Structures for Knowledge Representation and Reasoning年度引用學(xué)科排名




書目名稱Graph Structures for Knowledge Representation and Reasoning讀者反饋




書目名稱Graph Structures for Knowledge Representation and Reasoning讀者反饋學(xué)科排名

BUDGE

Laura Weiss Roberts,Christopher H. Warnerbility distributions. We introduce . as graph-based structures that generalize Bayesian networks to the theory of subjective logic. We discuss the perspectives of the subjective networks representation and the challenges of reasoning with them.

漸強(qiáng)

An Overview of Argumentation Frameworks for Decision Support,n of decision problems as well as an automatic evaluation of the goodness of decisions. We overview several such uses of argumentation frameworks and discuss future directions of research, including cross-fertilisations amongst them.

濕潤

Subjective Networks: Perspectives and Challenges,bility distributions. We introduce . as graph-based structures that generalize Bayesian networks to the theory of subjective logic. We discuss the perspectives of the subjective networks representation and the challenges of reasoning with them.

watertight,

薄荷醇

薄荷醇

Banister

anatomical

Learning Bayesian Networks with Non-Decomposable Scores,amming and heuristic search methods. These approaches operate in a search space called the order graph, which has been investigated extensively in recent years. In this paper, we break from this tradition, and show that one can effectively learn structures using non-decomposable scores by exploring

cardiovascular

Combinatorial Results on Directed Hypergraphs for the SAT Problem,roblem by searching a transversal of the directed hypergraphs associated to its instance. We introduce some particular clause orderings and study their influence on the backtrack process, exhibiting a new subclass of CNF for which SAT is polynomial. Based on unit resolution and a novel dichotomous s