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NIPS
2008
14 years 11 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
JCB
2008
108views more  JCB 2008»
14 years 9 months ago
Asymptotics of RNA Shapes
Abstract. RNA shapes, introduced by Giegerich et al. (17), provide a useful classification of the branching complexity for RNA secondary structures. In this paper, we derive an exa...
W. A. Lorenz, Yann Ponty, Peter Clote
JMLR
2006
118views more  JMLR 2006»
14 years 9 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
VISUALIZATION
1999
IEEE
15 years 2 months ago
Time-Critical Multiresolution Scene Rendering
We describe a framework for time-critical rendering of graphics scenes composed of a large number of objects having complex geometric descriptions. Our technique relies upon a sce...
Enrico Gobbetti, Eric Bouvier
CMOT
2004
83views more  CMOT 2004»
14 years 9 months ago
Networks, Fields and Organizations: Micro-Dynamics, Scale and Cohesive Embeddings
Social action is situated in fields that are simultaneously composed of interpersonal ties and relations among organizations, which are both usefully characterized as social netwo...
Douglas R. White, Jason Owen-Smith, James Moody, W...