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» Building a Stochastic Dynamic Model of Application Use
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KI
2007
Springer
14 years 3 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
HICSS
2002
IEEE
119views Biometrics» more  HICSS 2002»
14 years 2 months ago
An Inverse-Quantile Function Approach for Modeling Electricity Price
We propose a class of alternative stochastic volatility models for electricity prices using the quantile function modeling approach. Specifically, we fit marginal distributions ...
Shi-Jie Deng, Wenjiang Jiang
ICIP
2008
IEEE
14 years 3 months ago
Stochastic fusion of multi-view gradient fields
Image gradients form powerful cues in a host of vision and graphics applications. In this paper, we consider multiple views of a textured planar scene and consider the problem of ...
Aswin C. Sankaranarayanan, Rama Chellappa
WSCG
2004
143views more  WSCG 2004»
13 years 10 months ago
View Dependent Stochastic Sampling for Efficient Rendering of Point Sampled Surfaces
In this paper we present a new technique for rendering very large datasets representing point-sampled surfaces. Rendering efficiency is considerably improved by using stochastic s...
Sushil Bhakar, Liang Luo, Sudhir P. Mudur
SIMVIS
2003
13 years 10 months ago
An Experimental Study of the Behaviour of the Proxel-Based Simulation Algorithm
The paradigm of the proxel ("probability element") was recently introduced in order to provide a new algorithmic approach to analysing discrete-state stochastic models s...
Sanja Lazarova-Molnar, Graham Horton