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Alternating Decision trees for early diagnosis of dengue fever
Alternating Decision trees early diagnosis dengue fever
2013/6/17
Dengue fever is a flu-like illness spread by the bite of an infected mosquito which is fast emerging as a major health problem. Timely and cost effective diagnosis using clinical and laboratory featur...
From Fields to Trees
From Fields Trees
2012/9/19
We present new MCMC algo rithms for com-puting the posterior distri but ionsandexpec-tations of the unknownvari ables in undi-rected grap hical model swi thre gular struc ture. For demon stration pu r...
Identifying subtree perfectness in decision trees
Choice function subtree perfectness backward induction sequential decision tree consequentialist maximality maximin E-admissibility imprecise probability imprecise utility.
2012/9/17
In decision problems, often, utilities and probabilities are hard to determine. In such cases, one can resort to so-called choice functions. They provide a means to determine which options in a partic...
Branching Markov processes on fragmentation trees generated from the paintbox process
paintbox process Markov processes
2011/7/19
A fragmentation of a set $A$ is a graph with vertices labeled by subsets of $A$ which obey a certain parent-child relationship. A random fragmentation tree is a probability distribution on the space o...
We introduce the Pitman Yor Diffusion Tree (PYDT) for hierarchical clustering, a generalization of the Dirichlet Diffusion Tree (Neal, 2001) which removes the restriction to binary branching structure...
Variable importance in binary regression trees and forests
CART random forests maximal subtree
2009/9/16
We characterize and study variable importance (VIMP) and pairwise variable associations in binary regression trees. A key component involves the node mean squared error for a quantity we refer to as a...