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» On the Discovery of Random Trees
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CISS
2007
IEEE
15 years 2 months ago
Energy Efficient Routing for Statistical Inference of Markov Random Fields
The problem of routing of sensor observations for optimal detection of a Markov random field (MRF) at a designated fusion center is analyzed. Assuming that the correlation structur...
Animashree Anandkumar, Lang Tong, Ananthram Swami
CVPR
2005
IEEE
16 years 5 days ago
Random Subspaces and Subsampling for 2-D Face Recognition
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
Nitesh V. Chawla, Kevin W. Bowyer
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
15 years 10 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
NIPS
2001
14 years 11 months ago
Matching Free Trees with Replicator Equations
Motivated by our recent work on rooted tree matching, in this paper we provide a solution to the problem of matching two free (i.e., unrooted) trees by constructing an association...
Marcello Pelillo
SDM
2008
SIAM
122views Data Mining» more  SDM 2008»
14 years 11 months ago
Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu