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CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
15 years 8 months ago
Latent Structure Models for the Analysis of Gene Expression Data
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
Dong Hua, Dechang Chen, Xiuzhen Cheng, Abdou Youss...
ACL
2006
15 years 4 months ago
Annealing Structural Bias in Multilingual Weighted Grammar Induction
We first show how a structural locality bias can improve the accuracy of state-of-the-art dependency grammar induction models trained by EM from unannotated examples (Klein and Ma...
Noah A. Smith, Jason Eisner
PAMI
2008
119views more  PAMI 2008»
15 years 3 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes
UAI
2003
15 years 4 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
ADC
2005
Springer
111views Database» more  ADC 2005»
15 years 8 months ago
Redundancy, Dependencies and Normal Forms for XML Databases
With the advent of XML and its use as a database language, dependency and normal form theory has attracted novel research interest. Several approaches to build up a dependency and...
Klaus-Dieter Schewe