Nir Friedman
5 papers · 2002–2010 · 1 venue · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🌱 Topic Pioneer
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(4)
📈
Trend Setter
Venues
Top co-authors
Research topics
Keywords
bayesian network
(3)
structure learning
(2)
graphical model
(2)
hidden variable
(2)
expectation maximization
(1)
mean-field approximation
(1)
bayesian network structure
(1)
stochastic process
(1)
parameter learning
(1)
likelihood function
(1)
generative model
(1)
probabilistic model
(1)
markov process
(1)
continuous variable
(1)
relational data
(1)
probabilistic relational model
(1)
link structure
(1)
reference uncertainty
(1)
attribute prediction
(1)
module network
(1)
Papers
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
JMLR 2010
"Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks
JMLR 2007
Learning Hidden Variable Networks: The Information Bottleneck Approach
JMLR 2005
Learning Module Networks
JMLR 2005
Learning Probabilistic Models of Link Structure
JMLR 2002