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TSP
2010
14 years 6 months ago
Learning Gaussian tree models: analysis of error exponents and extremal structures
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
LREC
2008
141views Education» more  LREC 2008»
15 years 1 months ago
The Penn Discourse TreeBank 2.0
We present the second version of the Penn Discourse Treebank, PDTB-2.0, describing its lexically-grounded annotations of discourse s and their two abstract object arguments over t...
Rashmi Prasad, Nikhil Dinesh, Alan Lee, Eleni Milt...
TALG
2008
67views more  TALG 2008»
14 years 11 months ago
Structure and linear-time recognition of 4-leaf powers
A graph G is the k-leaf power of a tree T if its vertices are leaves of T such that two vertices are adjacent in G if and only if their distance in T is at most k. Then T is a k-le...
Andreas Brandstädt, Van Bang Le, R. Sritharan
INFORMATICALT
2002
150views more  INFORMATICALT 2002»
14 years 11 months ago
Application of Data Mining Technique for Diagnosis of Posterior Uveal Melanoma
Application of knowledge discovery in databases (data mining) for medical decision support is discussed in this work. The aim of the study was to use decision support algorithm for...
Darius Jegelevicius, Arunas Lukosevicius, Alvydas ...
ALDT
2009
Springer
181views Algorithms» more  ALDT 2009»
15 years 6 months ago
Optimizing the Hurwicz Criterion in Decision Trees with Imprecise Probabilities
This paper is devoted to sequential decision problems with imprecise probabilities. We study the problem of determining an optimal strategy according to the Hurwicz criterion in de...
Gildas Jeantet, Olivier Spanjaard