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» Using Bayesian Networks to Model Agent Relationships
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NIPS
2003
13 years 10 months ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish
JCB
2007
130views more  JCB 2007»
13 years 9 months ago
Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
MicroRNAs (miRNAs) regulate a large proportion of mammalian genes by hybridizing to targeted messenger RNAs (mRNAs) and down-regulating their translation into protein. Although mu...
Jim C. Huang, Quaid Morris, Brendan J. Frey
CAD
2005
Springer
13 years 9 months ago
Bayesian computer-aided experimental design of heterogeneous scaffolds for tissue engineering
This paper presents a Bayesian methodology for computer-aided experimental design of heterogeneous scaffolds for tissue engineering applications. These heterogeneous scaffolds hav...
Lee E. Weiss, Cristina H. Amon, Susan Finger, Eric...
JMLR
2010
140views more  JMLR 2010»
13 years 3 months ago
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman
ICDCSW
2005
IEEE
14 years 2 months ago
Bandwidth Clustering for Reliable and Prioritized Network Routing Using Split Agent-Based Method
Recent researches have highlighted the importance of developing a network with distributed problem solving abilities thus enhancing reliability with equal share of network resourc...
Constandinos X. Mavromoustakis, Helen D. Karatza