Foster Provost
4 papers · 2003–2022 · 1 venue · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Venues
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Research topics
Keywords
decision tree
(2)
logistic regression
(1)
relational learning
(1)
collective inference
(1)
classification accuracy
(1)
missing value imputation
(1)
learning curve
(1)
bias-variance tradeoff
(1)
treatment effect estimation
(1)
counterfactual inference
(1)
network classification
(1)
gaussian random field
(1)
outcome prediction
(1)
learning curve analysis
(1)
probability ranking
(1)
causal classification
(1)
reduced model
(1)
link-based classification
(1)
predictive imputation
(1)
causal inference
(1)
Papers
Causal Classification: Treatment Effect Estimation vs. Outcome Prediction
JMLR 2022
Classification in Networked Data: A Toolkit and a Univariate Case Study
JMLR 2007
Handling Missing Values when Applying Classification Models
JMLR 2007
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis
JMLR 2003