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AI
2011
Springer
14 years 3 months ago
Subspace Mapping of Noisy Text Documents
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
Axel J. Soto, Marc Strickert, Gustavo E. Vazquez, ...
ICANN
2010
Springer
15 years 28 days ago
Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...
Rudolf Mayer, Andreas Rauber
BMCBI
2008
129views more  BMCBI 2008»
14 years 12 months ago
EMAAS: An extensible grid-based Rich Internet Application for microarray data analysis and management
Background: Microarray experimentation requires the application of complex analysis methods as well as the use of non-trivial computer technologies to manage the resultant large d...
Geraint Barton, J. C. Abbott, Norie Chiba, D. W. H...
DATE
2010
IEEE
120views Hardware» more  DATE 2010»
15 years 5 months ago
Linear programming approach for performance-driven data aggregation in networks of embedded sensors
Abstract—Cyber Physical Systems are distributed systemsof-systems that integrate sensing, processing, networking and actuation. Aggregating physical data over space and in time e...
Cristian Ferent, Varun Subramanian, Michael Gilber...
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
15 years 3 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo