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JMLR
2000
134views more  JMLR 2000»
13 years 11 months ago
Learning with Mixtures of Trees
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
Marina Meila, Michael I. Jordan
JMLR
2006
89views more  JMLR 2006»
13 years 11 months ago
Lower Bounds and Aggregation in Density Estimation
In this paper we prove the optimality of an aggregation procedure. We prove lower bounds for aggregation of model selection type of M density estimators for the Kullback-Leibler d...
Guillaume Lecué
JMLR
2006
150views more  JMLR 2006»
13 years 11 months ago
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
Olvi L. Mangasarian
JMLR
2006
124views more  JMLR 2006»
13 years 11 months ago
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem
The rise of convex programming has changed the face of many research fields in recent years, machine learning being one of the ones that benefitted the most. A very recent develop...
Tijl De Bie, Nello Cristianini
JMLR
2010
165views more  JMLR 2010»
13 years 6 months ago
Causal Inference
: This review presents empirical researchers with recent advances in causal inference, and stresses the paradigmatic shifts that must be undertaken in moving from traditional stati...
Judea Pearl