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ICML
1995
IEEE
16 years 5 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
NAR
2008
90views more  NAR 2008»
15 years 4 months ago
Many Microbe Microarrays Database: uniformly normalized Affymetrix compendia with structured experimental metadata
Many Microbe Microarrays Database (M3D ) is designed to facilitate the analysis and visualization of expression data in compendia compiled from multiple laboratories. M3D contains...
Jeremiah J. Faith, Michael E. Driscoll, Vincent A....
144
Voted
SNPD
2008
15 years 6 months ago
Dynamic Data Feed to Bayesian Network Model and SMILE Web Application
A complete diagnostic Bayesian network model cannot be achieved and the result of the constructed model cannot be guaranteed unless correct and reliable data are provided to the m...
Nipat Jongsawat, Pittaya Poompuang, Wichian Premch...
GD
2009
Springer
15 years 9 months ago
Port Constraints in Hierarchical Layout of Data Flow Diagrams
Abstract. We present a new application for graph drawing in the context of graphical model-based system design, where manual placing of graphical items is still state-of-the-practi...
Miro Spönemann, Hauke Fuhrmann, Reinhard von ...
COLING
2010
14 years 11 months ago
Varro: An Algorithm and Toolkit for Regular Structure Discovery in Treebanks
The Varro toolkit is a system for identifying and counting a major class of regularity in treebanks and annotated natural language data in the form of treestructures: frequently r...
Scott Martens