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» Graph-Based Induction for General Graph Structured Data
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ICTAI
2008
IEEE
14 years 1 months ago
Discovering Program's Behavioral Patterns by Inferring Graph-Grammars from Execution Traces
Frequent patterns in program executions represent recurring sequences of events. These patterns can be used to reveal the hidden structures of a program, and ease the comprehensio...
Chunying Zhao, Keven Ates, Jun Kong, Kang Zhang
SSD
1999
Springer
116views Database» more  SSD 1999»
13 years 11 months ago
Generalizing Graphs Using Amalgamation and Selection
This work is a contribution to the developing literature on multi-resolution data models. It considers operations for model-oriented generalization in the case where the underlying...
John G. Stell, Michael F. Worboys
JMLR
2010
128views more  JMLR 2010»
13 years 2 months ago
Learning Causal Structure from Overlapping Variable Sets
We present an algorithm name cSAT+ for learning the causal structure in a domain from datasets measuring different variable sets. The algorithm outputs a graph with edges correspo...
Sofia Triantafilou, Ioannis Tsamardinos, Ioannis G...
ECAI
2004
Springer
14 years 24 days ago
Combining Multiple Answers for Learning Mathematical Structures from Visual Observation
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
Paulo Santos, Derek R. Magee, Anthony G. Cohn, Dav...
ICTAI
2007
IEEE
14 years 1 months ago
Constructing VEGGIE: Machine Learning for Context-Sensitive Graph Grammars
Context-sensitive graph grammar construction tools have been used to develop and study interesting languages. However, the high dimensionality of graph grammars result in costly e...
Keven Ates, Kang Zhang