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JMLR
2006
118views more  JMLR 2006»
15 years 6 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
IPPS
2007
IEEE
16 years 28 days ago
Decomposing Partial Order Execution Graphs to Improve Message Race Detection
In message-passing parallel applications, messages are not delivered in a strict order. In most applications, the computation results and the set of messages produced during the e...
Basile Schaeli, Sebastian Gerlach, Roger D. Hersch
CONCUR
2006
Springer
15 years 10 months ago
Some Remarks on Definability of Process Graphs
We propose the notions of "density" and "connectivity" of infinite process graphs and investigate them in the context of the wellknown process algebras BPA and ...
Clemens Grabmayer, Jan Willem Klop, Bas Luttik
VISSYM
2007
15 years 9 months ago
Grouse: Feature-Based, Steerable Graph Hierarchy Exploration
Grouse is a feature-based approach to steerable exploration of a graph and an associated hierarchy. Steerability allows exploration to begin immediately, rather than requiring a c...
Daniel Archambault, Tamara Munzner, David Auber
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 8 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter