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» Bayesian Networks Learning for Gene Expression Datasets
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ICCV
1999
IEEE
15 years 11 months ago
Control in a 3D Reconstruction System using Selective Perception
This paper presents a control structure for general purpose image understanding that addresses both the high level of uncertainty in local hypotheses and the computational complex...
Maurício Marengoni, Allen R. Hanson, Shlomo...
BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
14 years 9 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...
CVPR
2012
IEEE
12 years 12 months ago
Sum-product networks for modeling activities with stochastic structure
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
Mohamed R. Amer, Sinisa Todorovic
BMCBI
2006
136views more  BMCBI 2006»
14 years 9 months ago
EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences
Background: Understanding gene regulatory networks has become one of the central research problems in bioinformatics. More than thirty algorithms have been proposed to identify DN...
Jianjun Hu, Yifeng D. Yang, Daisuke Kihara
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
15 years 2 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho