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» Conditional Independence Trees
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NIPS
1997
15 years 3 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
ISIPTA
2003
IEEE
15 years 7 months ago
Graphical Representation of Asymmetric Graphoid Structures
Independence models induced by some uncertainty measures (e.g. conditional probability, possibility) do not obey the usual graphoid properties, since they do not satisfy the symme...
Barbara Vantaggi
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
16 years 2 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
CP
1997
Springer
15 years 6 months ago
Ordering Constraints over Feature Trees
Feature trees have been used to accommodate records in constraint programming and record like structures in computational linguistics. Feature trees model records, and feature cons...
Martin Müller, Joachim Niehren, Andreas Podel...
AUSDM
2008
Springer
258views Data Mining» more  AUSDM 2008»
15 years 4 months ago
wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability
Accurate and less invasive personalized predictive medicine can spare many breast cancer patients from receiving complex surgical biopsies, unnecessary adjuvant treatments and its...
Umer Khan, Hyunjung Shin, Jongpill Choi, Minkoo Ki...