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CVPR
2008
IEEE
14 years 12 months ago
Learning stick-figure models using nonparametric Bayesian priors over trees
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
Edward Meeds, David A. Ross, Richard S. Zemel, Sam...
JCB
2006
67views more  JCB 2006»
13 years 9 months ago
The Identifiability of Tree Topology for Phylogenetic Models, Including Covarion and Mixture Models
For a model of molecular evolution to be useful for phylogenetic inference, the topology of evolutionary trees must be identifiable. That is, from a joint distribution the model p...
Elizabeth S. Allman, John A. Rhodes
ECML
2007
Springer
14 years 1 months ago
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Anneleen Van Assche, Hendrik Blockeel
EMNLP
2007
13 years 11 months ago
Probabilistic Models of Nonprojective Dependency Trees
A notable gap in research on statistical dependency parsing is a proper conditional probability distribution over nonprojective dependency trees for a given sentence. We exploit t...
David A. Smith, Noah A. Smith
ICDCS
2006
IEEE
14 years 3 months ago
Overlay Multicast with Inferred Link Capacity Correlations
We model the overlay using linear capacity constraints, which accurately and succinctly capture overlay link correlations. We show that finding a maximum-bandwidth multicast tree...
Ying Zhu, Baochun Li