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DAGM
2010
Springer
15 years 8 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
230
Voted
CAISE
2004
Springer
16 years 28 days ago
Achieving Enterprise Model Interoperability through the Model-Based Architecture Framework for Enterprises
This paper describes an ontology for enterprise modelling, The ontology has enabled conceptual integration of two different modelling methodologies, one based on UEML (Unified Ente...
Håvard D. Jørgensen, Oddrun Pauline O...
BMCBI
2006
151views more  BMCBI 2006»
15 years 7 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman
216
Voted
ISBRA
2010
Springer
16 years 2 months ago
Modeling without Borders: Creating and Annotating VCell Models Using the Web
Biological research is becoming increasingly complex and data-rich, with multiple public databases providing a variety of resources: hundreds of thousands of substances and interac...
Michael L. Blinov, Oliver Ruebenacker, James C. Sc...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 3 days ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...