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ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
16 years 17 days ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park
EDCC
2005
Springer
16 years 3 days ago
Efficient Single-Pattern Fault Simulation on Structurally Synthesized BDDs
Abstract. Current paper proposes an efficient alternative for traditional gatelevel fault simulation. The authors explain how Structurally Synthesized Binary Decision Diagrams (SSB...
Jaan Raik, Raimund Ubar, Sergei Devadze, Artur Jut...
IV
2003
IEEE
99views Visualization» more  IV 2003»
15 years 12 months ago
Visual Representation of Database Queries using Structural Similarity
It is often useful to get high-level views of datasets in order to identify areas of interest worthy of further exploration. In relational databases, the high-level view can be de...
Dennis P. Groth
KDD
1995
ACM
106views Data Mining» more  KDD 1995»
15 years 10 months ago
Structured and Unstructured Induction with EDAGs
One objective of knowledge acquisition using inductive modeling has been the development of correct and effectively computable descriptions that can also be assimilated and used b...
Brian R. Gaines
UAI
2008
15 years 8 months ago
Multi-View Learning over Structured and Non-Identical Outputs
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
Kuzman Ganchev, João Graça, John Bli...