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» Using Bayesian networks to analyze expression data
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AI
2001
Springer
15 years 2 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
CSDA
2008
80views more  CSDA 2008»
14 years 10 months ago
Variational Bayesian functional PCA
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
Angelika van der Linde
ICIAP
2005
ACM
15 years 10 months ago
Facial Expression Recognition Based on the Belief Theory: Comparison with Different Classifiers
This paper presents a system for classifying facial expressions based on a data fusion process relying on the Belief Theory (BeT). Four expressions are considered: joy, surprise, d...
Zakia Hammal, L. Couvreur, Alice Caplier, Mich&egr...
BDIM
2008
IEEE
205views Business» more  BDIM 2008»
15 years 4 months ago
Mining semantic relations using NetFlow
—Knowing the dependencies among computing assets and services provides insights into the computing and business landscape, therefore, facilitating low-risk timely changes in supp...
Alexandru Caracas, Andreas Kind, Dieter Gantenbein...
DSN
2011
IEEE
13 years 9 months ago
Applying game theory to analyze attacks and defenses in virtual coordinate systems
—Virtual coordinate systems provide an accurate and efficient service that allows hosts on the Internet to determine latency to arbitrary hosts based on information provided by ...
Sheila Becker, Jeff Seibert, David Zage, Cristina ...