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» Nested Ordered Sets and their Use for Data Modelling
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CDC
2009
IEEE
151views Control Systems» more  CDC 2009»
15 years 11 months ago
A poset framework to model decentralized control problems
— In this paper we use partially ordered sets (posets) to study decentralized control problems arising in different settings. We show that time delayed systems with certain dela...
Parikshit Shah, Pablo A. Parrilo
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
15 years 6 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
EH
2002
IEEE
139views Hardware» more  EH 2002»
15 years 11 months ago
Evolving Cellular Automata to Model Fluid Flow in Porous Media
Fluid flow in porous media is a dynamic process that is traditionally modeled using PDE (Partial Differential Equations). In this approach, physical properties related to fluid fl...
Tina Yu, Seong Lee
BMEI
2009
IEEE
15 years 7 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Lin Wang, Jinwen Ma
PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
15 years 5 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen