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» Complexity of Inference in Graphical Models
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SGP
2003
13 years 11 months ago
Statistical Point Geometry
We propose a scheme for modeling point sample geometry with statistical analysis. In our scheme we depart from the current schemes that deterministically represent the attributes ...
Aravind Kalaiah, Amitabh Varshney

Publication
273views
12 years 8 months ago
 Beyond Graphs: A New Synthesis.
Artificial neural networks, electronic circuits, and gene networks are some examples of systems that can be modeled as networks, that is, as collections of interconnected nodes. I...
Mattiussi, Claudio, Dürr, Peter, Marbach, Daniel ...
JMLR
2010
143views more  JMLR 2010»
13 years 4 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
AAAI
1997
13 years 11 months ago
Model Decomposition and Simulation: A Component Based Qualitative Simulation Algorithm
Traditionally, qualitative simulation uses a global, state-based representation to describe the behavior of the modeled system. For larger, more complex systems this representatio...
Daniel J. Clancy, Benjamin Kuipers
FSTTCS
1998
Springer
14 years 2 months ago
A Synchronous Semantics of Higher-Order Processes for Modeling Reconfigurable Reactive Systems
Abstract. Synchronous languages are well suited for the design of dependable real-time systems: they enable a very high-level specification and an extremely modular implementation ...
Jean-Pierre Talpin, David Nowak