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SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
13 years 10 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
ECSQARU
2009
Springer
14 years 3 months ago
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
Sourour Ammar, Philippe Leray, Boris Defourny, Lou...
CORR
2004
Springer
151views Education» more  CORR 2004»
13 years 8 months ago
Finite-Tree Analysis for Constraint Logic-Based Languages: The Complete Unabridged Version
Logic languages based on the theory of rational, possibly infinite, trees have much appeal in that rational trees allow for faster unification (due to the safe omission of the occ...
Roberto Bagnara, Roberta Gori, Patricia M. Hill, E...
ALT
2003
Springer
14 years 11 days ago
Efficient Learning of Ordered and Unordered Tree Patterns with Contractible Variables
Due to the rapid growth of tree structured data such as Web documents, efficient learning from tree structured data becomes more and more important. In order to represent structura...
Yusuke Suzuki, Takayoshi Shoudai, Satoshi Matsumot...
CCECE
2006
IEEE
14 years 2 months ago
Breast Cancer Prognosis via Gaussian Mixture Regression
This paper compares the performance of classification and regression trees (CART), multivariate adaptive regression splines (MARS), and a Gaussian mixture regressor (GMR) method ...
Tiago H. Falk, Hagit Shatkay, Wai-Yip Chan