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» Learning to Learn Causal Models
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UAI
2008
15 years 2 months ago
Feature Selection via Block-Regularized Regression
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
Seyoung Kim, Eric P. Xing
ICML
2008
IEEE
16 years 2 months ago
Unsupervised rank aggregation with distance-based models
Alexandre Klementiev, Dan Roth, Kevin Small
ICML
1996
IEEE
16 years 2 months ago
Applying the Multiple Cause Mixture Model to Text Categorization
Mehran Sahami, Marti A. Hearst, Eric Saund
ECML
2000
Springer
15 years 5 months ago
A Multiple Model Cost-Sensitive Approach for Intrusion Detection
Wei Fan, Wenke Lee, Salvatore J. Stolfo, Matthew M...