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AI
2010
Springer
15 years 6 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
ICML
2005
IEEE
16 years 7 months ago
Experimental comparison between bagging and Monte Carlo ensemble classification
Properties of ensemble classification can be studied using the framework of Monte Carlo stochastic algorithms. Within this framework it is also possible to define a new ensemble c...
Roberto Esposito, Lorenza Saitta
GRC
2005
IEEE
16 years 7 days ago
A linear control model for gene intervention in a genetic regulatory network
In this paper, we propose a linear control model for gene intervention in a genetic regulatory network. At each time step, finite controls are allowed to drive the network states...
Shuqin Zhang, Michael K. Ng, Wai-Ki Ching, Tatsuya...
ATMOS
2007
138views Optimization» more  ATMOS 2007»
15 years 8 months ago
A new concept of robustness
In this paper a new concept of robustness is introduced and the corresponding optimization problem is stated. This new concept is applied to transportation network designs in which...
Ricardo García, Ángel Marín, ...
ICML
2010
IEEE
15 years 7 months ago
On Sparse Nonparametric Conditional Covariance Selection
We develop a penalized kernel smoothing method for the problem of selecting nonzero elements of the conditional precision matrix, known as conditional covariance selection. This p...
Mladen Kolar, Ankur P. Parikh, Eric P. Xing