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» Generation From Under - And Overspecified Structures
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105
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JMLR
2010
140views more  JMLR 2010»
14 years 4 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
89
Voted
EMNLP
2008
14 years 11 months ago
A Generative Model for Parsing Natural Language to Meaning Representations
In this paper, we present an algorithm for learning a generative model of natural language sentences together with their formal meaning representations with hierarchical structure...
Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemo...
CGF
2010
98views more  CGF 2010»
14 years 9 months ago
Image Synthesis for Branching Structures
We present a set of techniques for the synthesis of artificial images that depict branching structures like rivers, cracks, lightning, mountain ranges, or blood vessels. The centr...
Dominik Sibbing, Darko Pavic, Leif Kobbelt
CORR
2007
Springer
82views Education» more  CORR 2007»
14 years 9 months ago
Mathematical analysis of the recoil growth algorithm to generate multi-polymer systems
The Recoil Growth algorithm, proposed in 1999 by Consta et al., is one of the most efficient algorithm available in the literature to sample from a multi-polymer system. While the ...
F. Simatos
AMC
2006
79views more  AMC 2006»
14 years 9 months ago
VC-dimension and structural risk minimization for the analysis of nonlinear ecological models
The problem of distinguishing density-independent (DI) from density-dependent (DD) demographic time series is important for understanding the mechanisms that regulate populations ...
Giorgio Corani, Marino Gatto