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SADM
2010
173views more  SADM 2010»
14 years 11 months ago
Data reduction in classification: A simulated annealing based projection method
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Tian Siva Tian, Rand R. Wilcox, Gareth M. James
DATE
1998
IEEE
103views Hardware» more  DATE 1998»
15 years 8 months ago
Efficient Encoding Schemes for Symbolic Analysis of Petri Nets
Petri nets are a graph-based formalism appropriate to model concurrentsystems such as asynchronouscircuits or network protocols. Symbolic techniques based on Binary Decision Diagr...
Enric Pastor, Jordi Cortadella
JMLR
2010
143views more  JMLR 2010»
14 years 11 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
SIAMREV
2010
132views more  SIAMREV 2010»
14 years 11 months ago
A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data
In this paper we propose and analyze a Stochastic-Collocation method to solve elliptic Partial Differential Equations with random coefficients and forcing terms (input data of the...
Ivo Babuska, Fabio Nobile, Raúl Tempone
ACAL
2007
Springer
15 years 10 months ago
Structural Circuits and Attractors in Kauffman Networks
There has been some ambiguity about the growth of attractors in Kauffman networks with network size. Some recent work has linked this to the role and growth of circuits or loops o...
Kenneth A. Hawick, Heath A. James, Chris Scogings