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RECOMB
2008
Springer
16 years 7 months ago
A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics
The protein inference problem represents a major challenge in shotgun proteomics. Here we describe a novel Bayesian approach to address this challenge that incorporates the predict...
Yong Fuga Li, Randy J. Arnold, Yixue Li, Predrag R...
ECSQARU
2009
Springer
16 years 1 months ago
Maximum Likelihood Learning of Conditional MTE Distributions
We describe a procedure for inducing conditional densities within the mixtures of truncated exponentials (MTE) framework. We analyse possible conditional MTE specifications and pr...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
MLDM
2007
Springer
16 years 22 days ago
Kernel MDL to Determine the Number of Clusters
In this paper we propose a new criterion, based on Minimum Description Length (MDL), to estimate an optimal number of clusters. This criterion, called Kernel MDL (KMDL), is particu...
Ivan O. Kyrgyzov, Olexiy O. Kyrgyzov, Henri Ma&ici...
ICDM
2006
IEEE
158views Data Mining» more  ICDM 2006»
16 years 19 days ago
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
Etienne Cuvelier, Monique Noirhomme-Fraiture
MICAI
2009
Springer
15 years 11 months ago
Leukocyte Recognition Using EM-Algorithm
This document describes a method for classifying images of blood cells. Three different classes of cells are used: Band Neutrophils, Eosinophils and Lymphocytes. The image pattern...
Mario Chirinos Colunga, Oscar Sánchez Siord...