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» Model-based clustering for longitudinal data
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UM
2005
Springer
14 years 24 days ago
Temporal Blurring: A Privacy Model for OMS Users
Stereotypes and clustering are some techniques for creating user models from user behavior. Yet, they possess important risks as users actions could be misinterpreted or users coul...
Rosa Alarcón, Luis A. Guerrero, José...
CONTEXT
2007
Springer
14 years 1 months ago
Risk Context Effects in Inductive Reasoning: An Experimental and Computational Modeling Study
Mechanisms that underlie the inductive reasoning process in risk contexts are investigated. Experimental results indicate that people rate the same inductive reasoning argument dif...
Kayo Sakamoto, Masanori Nakagawa
BMCBI
2008
142views more  BMCBI 2008»
13 years 7 months ago
Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classification
Background: In the present investigation, we have used an exhaustive metabolite profiling approach to search for biomarkers in recombinant Aspergillus nidulans (mutants that produ...
Irene Kouskoumvekaki, Zhiyong Yang, Svava Ó...
JMLR
2010
179views more  JMLR 2010»
13 years 2 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
ESANN
2004
13 years 8 months ago
Robust Bayesian Mixture Modelling
Abstract. Bayesian approaches to density estimation and clustering using mixture distributions allow the automatic determination of the number of components in the mixture. Previou...
Christopher M. Bishop, Markus Svensén