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» Genetic Algorithms for Component Analysis
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IDA
2005
Springer
15 years 8 months ago
Bayesian Networks Learning for Gene Expression Datasets
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi...
CVPR
2003
IEEE
16 years 5 months ago
Generalized Principal Component Analysis (GPCA)
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
René Vidal, Shankar Sastry, Yi Ma
106
Voted
CORR
2010
Springer
144views Education» more  CORR 2010»
15 years 1 months ago
Performance Evaluation of Components Using a Granularity-based Interface Between Real-Time Calculus and Timed Automata
nalysis of a TA modeled component. First, we abstract fine models to work with event streams at coarse granularity. We perform analysis of the component at multiple coarse granular...
Karine Altisen, Yanhong Liu, Matthieu Moy
JDCTA
2010
163views more  JDCTA 2010»
14 years 10 months ago
Predictive Analysis for Customer Relationship Management
The approach for predictive analysis focuses on a business strategy to streamline business-customer relationships in order to maximize client satisfaction and thereby improve cust...
Manisha Rathi, Anand Priyadarshini, Ankit Rastogi
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 9 months ago
A systemic computation platform for the modelling and analysis of processes with natural characteristics
Computation in biology and in conventional computer architectures seem to share some features, yet many of their important characteristics are very different. To address this, [1]...
Erwan Le Martelot, Peter J. Bentley, R. Beau Lotto